1 Diabetic Retinopathy Screening: Current Screening Practices and Novel Retinal Imaging Modalities By Daniel Shu Wei TING MBBS (1 st Class Honours) MMed (Ophth) 20799514 A collection of papers presented for the Degree of Doctor of Philosophy to the Centre of Ophthalmology and Visual Science, University of Western Australia June 2015 Coordinating Supervisor: Associate Professor Mei-Ling Tay Kearney Centre of Ophthalmology and Visual Science, Lions Eye Institute, Perth External Supervisor: Professor Yogesan Kanagasingam Commonwealth Scientific Industrial and Research Organisation Research Director of Australian e-Health Research Centre
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1
Diabetic Retinopathy Screening: Current
Screening Practices and Novel Retinal Imaging
Modalities
By Daniel Shu Wei TING MBBS (1st Class Honours) MMed (Ophth)
20799514
A collection of papers presented for the Degree of Doctor of Philosophy to the Centre
of Ophthalmology and Visual Science, University of Western Australia
June 2015
Coordinating Supervisor: Associate Professor Mei-Ling Tay Kearney
Centre of Ophthalmology and Visual Science, Lions Eye Institute, Perth
External Supervisor: Professor Yogesan Kanagasingam
Commonwealth Scientific Industrial and Research Organisation
Research Director of Australian e-Health Research Centre
2
PREFACE
All presented manuscripts relate to the current practices and novel imaging
technologies for diabetic retinopathy screening. The thesis is divided into four
sections. Section 1 consists of the introduction and literature review. Section 2
evaluates the current diabetic retinopathy screening practices and attitudes of
Australian optometrists (Chapter 1) and general practitioners (Chapter 2). Section 3
validates a novel diagnostic device (Chapter 3) and optimal reading screen size
(Chapter 4) for retinal still photography. Section 4 proposes and validates a novel
video-based screening technology using retinal video recording (Chapter 5) and
compression (Chapter 6) for diabetic retinopathy screening. Each paper is presented
with the original internal headings, figures and tables; however, for ease of reading
and flow, the thesis has been formatted uniformly.
For all chapters, I was responsible for the conceptualization, design, development,
data collection, analysis, writing and presentation. Other co-authors have provided
guidance, supervision, assistance and proofreading of the thesis. For Chapters 1 and 2,
the Eye and Vision Epidemiology Research Group (EVER) of the University of
Western Australia helped with the design and conceptualization of the research
project. The contribution of others is presented below and at the end of each chapter.
3
DECLARATION
I, Daniel Shu Wei Ting, submitted in fulfilment of the requirements for the award of
Doctor of Philosophy in the Centre of Ophthalmology and Visual Science of the
University of Western Australia. To the best of my knowledge and belief, the
publications and the work arising from this thesis represent the original work of the
author. This thesis contains no material which has been accepted for the award of any
other degree of diploma in any university.
4
ACKNOWLEDGEMENTS
I would like to express my sincere thanks to my supervisors, Associate Professor Mei
Ling Tay-Kearney and Professor Yogesan Kanagasingam. Without their ongoing
support, this thesis would not have been possible.
Associate Professor Tay-Kearney kindly dedicated her precious time for most of my
studies over the past two years. Her tireless guidance and ongoing encouragement has
further enhanced my clinical and research interest in ophthalmology.
Professor Yogesan Kanagasingam has always been an extremely supportive and
approachable supervisor. Despite having various titles, awards and publications under
his belt, he is always humble, down to earth and readily available for questions.
Without his ongoing encouragement and prompt replies to all of my enquiries
throughout my research period, I would not have been able to publish and present my
research findings at different conferences, both locally and internationally.
I would also like to thank the members of the Eye and Vision Epidemiology Research
Group (EVER)—Associate Professor Nigel Morlet, Associate Professor David Preen,
Dr Jonathon Ng, Dr Antony Clark and Dr Joshua Yuen—for assisting me with the
design and conceptualization of Chapters 1 and 2. They constantly gave me statistical
advice and comments on the articles. The support from Professor Jill Keefe and
Professor Hugh Taylor (Centre for Eye Research Australia) is also very much
appreciated.
My sincere gratitude goes to the Australian E-Health Research
Centre/Commonwealth Scientific Industrial and Research Organisation (CSIRO) for
granting me scholarships and funding for the OIS EyeScan device. I would also like
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to thank the Royal Perth Hospital Medical Research Foundation for additional
funding over the first 12-month period.
I am indebted to Janardhan Vignarajan, the software engineer from CSIRO who
constantly and patiently gave me technical support for the EyeScan device, retinal
images/videos processing and storage. He also enlightened me with his computing
knowledge throughout my entire research period.
Last but not least, I would like to thank my family members (dad, mum and my two
brothers, Darren Ting and Derrick Ting), who have given me endless moral support.
My wife, Celene, is currently an obstetric and gynecology resident, and she has
played a big part in my life during this period, despite her busy routine. She has
accompanied me through all of the ups and downs and never failed to offer me
invaluable advice. Without her ongoing support, it would not have been possible for
me to successfully complete my research on time while also completing my clinical
training.
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PUBLICATIONS
1. Ting DSW, Ng J, Morlet N, Yuen J, Clark A, Taylor H, et al. Diabetic
retinopathy management by Australian general practitioners. Aust Fam Physician
2011;40(4):233–8.
2. Ting DSW, Ng J, Morlet N, Yuen J, Clark A, Taylor H, et al. Diabetic
retinopathy management by Australian optometrists. Clin Experiment
Ophthalmol 2011;39:230–5.
3. Ting DSW, Ng J, Morlet N, Yuen J, Clark A, Preen DB. Differences in diabetic
retinopathy management by primary eye care providers in Australia. Clin
• Reuters Health (The Doctor’s Channel Daily Newscast, New York): Retinal
Video Recording: A Novel Option for Diabetic Retinopathy Screening
o URL: http://www.youtube.com/watch?v=5VD5zKfDYfQ (July 1, 2011)
• Top story in Medscape Ophthalmology: A New Screening Tool for Diabetic
Retinopathy (July 13, 2011)
o URL: http://www.medscape.com/viewarticle/745710?src=mp&spon=36
(Accessed July 28, 2011)
• Asia Pacific Academy of Ophthalmology Congress (via Virtual Medical Centre):
Retinal Video Recording Could Be Used in Diabetic Retinopathy Screening
o URL: http://www.diabetic-retinopathy.org/2011/04/retinal-video-
recording-could-be-used.html (April 4, 2011)
• ScienceNetwork Western Australia: New Imaging Technique to Boost Diabetic
Retinopathy Detection
o URL: http://www.sciencewa.net.au/health-and-medicine/new-imaging-
technique-to-boost-diabetic-retinopathy-detection.html (Accessed April 16,
2011)
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2. Press Release
o West Australian: Video Spots Eye Disease in Diabetics (March 23, 2011)
3. Television Release
o Channel 10 in Perth, Brisbane, Sydney, Adelaide and Melbourne: Video
Helps Find Sick Eyes
o URL: http://ten.com.au/ten-news-perth.htm?movideo_m=98103 (Accessed
March 28, 2011)
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NOVEL CONTRIBUTIONS
The novel contributions of this thesis are outlined below.
1. Two large-scale national surveys on current diabetic retinopathy (DR) screening
practices and management by primary eye care providers—Australian GPs and
optometrists.
2. Validation of a novel, portable and economical fundus camera that can be
utilized to screen for DR screening in the primary health care setting.
3. Validation of portable, small reading devices to interpret color retinal still images
for DR screening.
4. Validation of a novel diagnostic modality for DR screening—Video-based
Imaging Technology (retinal video recording and compression) for DR screening:
a. This is the first study worldwide to evaluate the use of retinal video
recording in screening for DR.
b. This study has had significant media coverage nationally and
internationally:
1) Reuters’ Health, The Doctor’s Channel Daily Newscast, New
York (URL: http://www.youtube.com/watch?v=5VD5zKfDYfQ).
2) Top story in Medscape Ophthalmology, July 13, 2011.
3) Published in the top Ophthalmology journal, Ophthalmology, in
2011.
4) Televised on Channel 10 in Perth, Brisbane, Sydney, Adelaide
and Melbourne.
5) Reported in multiple e-magazines and newspapers, including
Retina Today, Review of Ophthalmology and ScienceNetwork
Western Australia and West Australian).
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ABSTRACT
Diabetes is a metabolic disease that is rapidly increasing in prevalence. One in four
people with diabetes will develop diabetic retinopathy (DR). Therefore, it is important
for primary eye care providers, such as optometrists and general practitioners (GPs),
to actively participate in screening services by performing dilated fundoscopy or
retinal imaging. Retinal cameras are generally expensive and technically challenging
to operate; thus, they are often not readily available in the primary health care setting,
especially in rural areas. The aim of this thesis is to evaluate the current DR screening
practices and attitudes of primary eye care providers and validate some novel, cost-
effective and easy-to-operate imaging technologies as alternative screening tools that
can potentially increase their interest and desire in DR screening.
Section 1 evaluates the current management practices of Australian optometrists
(Chapter 1) and GPs (Chapter 2). A total of 3,000 self-administered questionnaires
consisting of questions related to screening practices/attitudes and hypothetical
clinical scenarios were mailed out to optometrists (n=1,000) and GPs (n=2,000)
across Australia. The results showed that nearly 78% of optometrists reported having
a strong desire to screen for DR, compared to only 40% of GPs. The leading
screening barriers for GPs and optometrists were: 1) poor confidence in performing
direct ophthalmoscopy; 2) time limitations; 3) patients’ unpreparedness to drive; and
4) the fear of inducing angle-closure glaucoma. The use of a retinal camera was
shown to significantly increase optometrists’ confidence to detect DR changes.
Further research should focus on the identified barriers in order to allow early
detection of sight-threatening DR that requires prompt laser treatment to prevent
severe visual impairment.
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In light of the barriers to screening for DR (poor confidence, time limitation and lack
of desire to screen for DR), the use of an affordable and user-friendly retinal camera
would be significant in improving GPs’ and optometrists’ interest in participating in
community screening services. Section 2 investigates the use of inexpensive and
portable screening and reading devices for retinal still photography. Chapter 3
validates a novel, economical (US$30,000) and easy-to-operate multipurpose
ophthalmic imaging device called EyeScan (Ophthalmic Imaging System (OIS),
Sacramento, US), which screens for DR, whereas Chapter 4 validates the use of the
MacBook Pro and iPad for interpreting retinal color still images. The results showed
that three-field 30° mydriatic retinal still photography captured by the EyeScan had
comparable sensitivity and specificity to FF450 plus (EyeScan—sensitivity: 92.1%,
specificity: 98.4%, FF450—sensitivity: 94.4%, specificity: 98.9%) in detecting any
grade of DR. The technical failure rate for EyeScan was not statistically different
from FF450 plus (8.8% vs. 7%, p>0.05). Compared to the 15-inch MacBook Pro and
the 27-inch iMac, the 9.7-inch iPad was found to have similar sensitivity and
specificity of more than 90% in detecting any grade of DR, increasing up to 100% for
sight-threatening DR grading. Hence, the EyeScan and the 9.7-inch iPad are
economical and effective devices that can potentially be utilized by primary eye care
providers for DR screening in the community.
Retinal still photography is by far the most common DR screening tool used
worldwide. Nevertheless, a good retinal image is always highly dependent on a
photographer’s skills and the patient’s compliance; thus, retinal still photography
often requires the expertise of experienced personnel. The aim of Section 3 was to
purpose a novel and easy-to-operate video-based imaging technology for DR
screening. This is one of the first prospective studies to validate the use of retinal
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video recording as an alternative DR screening technique. This technique simulates
what is seen from the slit lamp examination, and it offers a greater field of retinal
view within a shorter timeframe compared to retinal still photography. To evaluate the
ease of use of this technique, it was performed by a medical officer with no previous
ocular imaging experience (after receiving a three-hour training session). The retinal
still photography was performed by an experienced retinal photographer. The results
showed that the sensitivity and specificity of retinal video recording were comparable
to traditional three-field (optic, macula and temporal view) 35° mydriatic retinal still
photography (retinal video recording—sensitivity: 93.9%, specificity: 98.5%; retinal
still photography—sensitivity: 92.4% and 98.5%) in detecting any grade of DR. The
technical failure rates for retinal video recording and retinal still photography were 7%
and 5.5% respectively, and both were not statistically significant.
In addition, Chapter 6 shows that retinal videos could be rapidly (25 seconds) and
significantly compressed from 500 MB to 20 MB with excellent sensitivity and
specificity (more than 90%) in detecting DR changes by both the ophthalmologist and
professional grader. Given that retinal videos are readily compressible and provide a
greater field of view within a shorter timeframe compared with three-field retinal
photography, the technique of image acquisition offers an easier alternative to
maximize the participation rate of primary eye care providers, such as optometrists
and GPs, in DR screening services.
In conclusion, this thesis reveals that the desire of optometrists and GPs to screen for
DR needs significant improvement, and more efforts should be directed towards the
identified barriers to DR screening. To improve the cost effectiveness and
convenience of screening services, primary eye care providers should consider
15
utilizing an economical retinal camera for retinal still photography with a portable
reading device (e.g., 9.7-inch iPad) to interpret retinal color still images. This thesis
also reports using retinal video recording as a novel, video-based imaging technology
that could potentially be utilized as an alternative DR screening modality among
primary eye care providers, as it possesses high diagnostic accuracy (sensitivity and
specificity) in detecting DR changes, and it can readily be compressed to a smaller
file size for storage and transmission. Future studies will be significant in exploring
this technique’s user-friendliness among experienced and non-experienced personnel,
as well as the cost-effectiveness, clinical-effectiveness and use of this technique in a
routine, mobile or tele-ophthalmology setting.
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ABBREVIATIONS
AACG Acute angle-closure glaucoma
ACE Angiotensin-converting enzyme
ADA American Diabetes Association
AGE Advanced glycation end products
AVI Audio Video Interleave
BMES Blue Mountain Eye Study
CERA Centre for Eye Research Australia
CI Confidence interval
CSME Clinically significant macular edema
CWS Cotton wool spot
DCTT Diabetes Control and Complications Trial
DKA Diabetic ketoacidosis
DM Diabetes mellitus
DME Diabetic macular edema
DR Diabetic retinopathy
ETDRS Early Treatment Diabetic Retinopathy Screening
FDA Food and Drug Administration
FFA Fundus fluorescein angiogram
GAD Glutamic acid decarboxylase
GP General practitioner
Hex Hard exudates
HHS Hyperosmolar hyperglycemic stat
ICD Islet cell autoantibodies
IFG Impaired fasting glucose
IGF Insulin-like growth factor
IGT Impaired glucose tolerance
IRMA Intra-retinal microvascular abnormalities
LDL Low-density-lipoprotein
LEI Lions Eye Institute
MA Microaneurysm
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MB Megabytes
MVIP Melbourne Visual Impairment Project
NEI National Eye Institute
NHMRC National Health and Medical Research Council
NICE National Institute for Clinical Excellence
NIDDM Non-insulin-dependent diabetes mellitus
NPDR Non-proliferative diabetic retinopathy
NVD New vessels on the disc
NVE New vessels elsewhere
OCT Optical coherence tomography
OGTT Oral glucose tolerance test
OIS Ophthalmic Imaging System
PEDF Platelet-derived growth factors
PDR Proliferative diabetic retinopathy
SD Standard deviation
STDR Sight-threatening diabetic retinopathy
T1DM Type 1 diabetes mellitus
T2DM Type 2 diabetes mellitus
UKPDS United Kingdom Prospective Diabetes Study
US United States
UWA University of Western Australia
UWF Ultra wide-field fundus imaging
VB Venous beading
VEGF Vascular endothelial growth factor
WA Western Australia
WESDR Wisconsin Epidemiologic Study of Diabetic Retinopathy
WHO World Health Organization
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LIST OF TABLES
Table 1.1: International Clinical Diabetic Retinopathy Severity Scales and International Clinical Diabetic Macular Edema Disease Severity Scales8 ......................................................................................................... 37
Table 1.2: Classification of diabetic retinopathy into retinopathy stages (Wisconsin level)9 ....................................................................................... 38
Table 2.1: The current diagnostic criteria for diabetes, impaired fasting glucose and impaired glucose tolerance published by the American Diabetes Association11,12 ............................................................................................ 45
Table 2.2: Diagnostic criteria for DKA and HHS by the ADA39 ................................ 48 Table 3.1: Demographics of the optometrists responding to a survey on diabetic
retinopathy screening .................................................................................. 71 Table 3.2: Barriers to optometrists performing dilated fundoscopy ............................ 72 Table 3.3: Current optometrists’ management and attitudes to diabetes and
diabetic retinopathy ..................................................................................... 73 Table 3.4: Optometrists’ management of hypothetical clinical scenarios and
specific signs of diabetic retinopathy .......................................................... 74 Table 4.1: Demographics of general practitioners responding to a survey on
diabetic retinopathy screening .................................................................... 83 Table 4.2: Current general practitioners management and attitudes to diabetes and
diabetic retinopathy ..................................................................................... 84 Table 4.3: Barriers to general practitioners performing dilated fundoscopy ............... 84 Table 4.4: General practitioners management of hypothetical clinical scenarios
and specific signs of diabetic retinopathy ................................................... 85 Table 5.1: International Clinical Diabetic Retinopathy Severity Scales8 .................... 96 Table 5.2: Diabetic retinopathy grading of the study patients based on slit lamp
biomicroscopy examination ........................................................................ 96 Table 5.3: The self reported diabetes micro- and macrovascular complications of
the enrolled study population ...................................................................... 97 Table 5.4: Sensitivity, specificity and Kappa correlations of overall diabetic
retinopathy grading by a consultant ophthalmologist and a medical officer from color fundus photographs of EyeScan (Ophthalmic Imaging System, CA) and FF450 (Carl Zeiss, North America), with reference to slit lamp biomicroscopy examination by a consultant ophthalmologist .......................................................................................... 97
Table 5.5: Kappa statistics for retinal photography using EyeScan and FF450 plus in comparison with the gold standard slit-lamp biomicroscopy examination by an ophthalmologist and a medical officer ......................... 98
Table 5.6: Classification of diabetic retinopathy into retinopathy stages (Wisconsin level)9 ....................................................................................... 99
Table 6.1: Specifications and prices of 27-inch iMac, 15-inch MacBook Pro and 9.7-inch iPad (The indicated prices are obtained in United States Dollars) ..................................................................................................... 109
Table 6.2: International Clinical Diabetic Retinopathy Severity Scales9 .................. 110 Table 6.3: The sensitivity, specificity and Kappa coefficient of 15-inch MacBook
Pro and 9.7-inch iPad in detecting diabetic retinopathy grading by a retinal specialist and a medical officer with reference to 27-inch iMac ... 111
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Table 6.4: The sensitivity, specificity and Kappa coefficient of 15-inch MacBook Pro and 9.7-inch iPad in detecting microaneurysms and retinal hemorrhages by a retinal specialist and a medical officer with reference to 27-inch iMac ......................................................................................... 112
Table 6.5: The Kappa correlation of diabetic retinopathy changes interpreted by a retinal specialist and a medical officer on 15-inch MacBook Pro and 9.7-inch iPad with reference to the retinal findings detected on 27-inch iMac .......................................................................................................... 113
Table 7.1: International Clinical Diabetic Retinopathy Severity Scales and International Clinical Diabetic Macular Edema Disease Severity Scales8 ....................................................................................................... 126
Table 7.2: Patient characteristics and their diabetes history ...................................... 127 Table 7.3: The sensitivity, specificity and Kappa correlation coefficient for retinal
photography (FF450 plus, Carl Zeiss Inc., North America) and retinal video recording (EyeScan, Ophthalmic Imaging System, CA, US) with reference to slit lamp biomicroscopy examination ................................... 127
Table 7.4: The Kappa statistics for retinal videos (EyeScan) and retinal photography (FF450 plus) by both consultant ophthalmologists compared to the gold standard slit lamp biomicroscopy examination ...... 128
Table 8.1: The file size of a retinal video with different compression levels by reducing its bit rate while keeping other parameters constant (frame rate, frame size, zoom) .............................................................................. 139
Table 8.2: The quality of retinal videos (with/without diabetic retinopathy changes) of different compression levels rated by an ophthalmologist and a medical officer ................................................................................. 140
Table 8.3: The average conversion timing of an uncompressed raw retinal video (1 Gigabytes) to different compression levels .......................................... 140
Table 8.4: The sensitivity, specificity and Kappa correlation of different compression levels for retinal videos in detecting diabetic retinopathy grading by an ophthalmologist and a medical officer with reference to uncompressed raw retinal videos (1GB) ................................................... 141
Table 8.5: The Kappa correlation of the microaneurysms and retinal hemorrhages detected by both ophthalmologist and medical officer at different compression levels with reference to the uncompressed raw video files (1GB) ........................................................................................................ 141
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LIST OF FIGURES
Figure 1.1: World’s first multipurpose portable imaging device (EyeScan) with a retinal video recording function .................................................................. 26
Figure 2.1: Microaneurysms and retinal hemorrhages ................................................ 51 Figure 2.2: New vessels formation at the disc (NVD) and a cotton wool spot
(CWS) ......................................................................................................... 52 Figure 2.3: Hard exudates, microaneurysms and retinal hemorrhages ........................ 52 Figure 2.4: Intraretinal microvascular abnormalities (IRMA) and venous beading
(VB) ............................................................................................................ 53 Figure 2.5: Area of non-perfusion accompanying venous beading (white arrow) ...... 53 Figure 2.6: Airlie House seven standard 30° stereoscopic fields on right eye ............ 59 Figure 5.1: Images captured by EyeScan and FF450 plus ......................................... 100
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CONTENTS
PREFACE .................................................................................................................... 2 DECLARATION ........................................................................................................ 3 ACKNOWLEDGEMENTS ....................................................................................... 4 PUBLICATIONS ........................................................................................................ 6 INVITED BOOK CHAPTERS .................................................................................. 7 CONFERENCE PRESENTATIONS ........................................................................ 7 PUBLIC MEDIA RELEASES ................................................................................... 9 NOVEL CONTRIBUTIONS ................................................................................... 11 ABSTRACT ............................................................................................................... 12 ABBREVIATIONS ................................................................................................... 16 LIST OF TABLES .................................................................................................... 18 LIST OF FIGURES .................................................................................................. 20 CONTENTS .............................................................................................................. 21 SECTION 1: INTRODUCTION AND LITERATURE REVIEW ...................... 24 1. Introduction ........................................................................................................... 24
1.1 Research Background ....................................................................................... 24 1.2 Aims and Hypotheses of the Study ................................................................... 26 1.3 Structure of Thesis ............................................................................................ 28 1.4 General Methods ............................................................................................... 29
1.4.1 Section 2 (Chapters 1 and 2): Evaluation of Diabetic Retinopathy Screening Practices in the Primary Eye Care Setting in Australia ............ 29
1.1.1.1 Overall Study Design .......................................................................... 29 1.1.1.2 Sample Size Estimation ...................................................................... 29 1.1.1.3 Sample Population .............................................................................. 30 1.1.1.4 Mailing Coordinator ............................................................................ 30 1.1.1.5 Survey Package ................................................................................... 30 1.1.1.6 Survey Questionnaire (Appendices 1 and 2) ...................................... 31 1.1.1.7 Instrument Validity and Reliability .................................................... 32 1.1.1.8 Data Entry and Analyses ..................................................................... 32
1.4.2 Section 3 and 4 (Chapters 3 to 6): Validation of Easy-to-operate and Economical Novel Imaging Devices for Diabetic Retinopathy Screening—Retinal Still Photography and Retinal Digital Video Recording .................................................................................................. 33
1.4.2.1 Overall Design .................................................................................... 33 1.4.2.2 Sample Size Estimation ...................................................................... 33 1.4.2.3 Sample Population .............................................................................. 35 1.4.2.5 Diabetic Retinopathy Grading System ................................................ 36 1.4.2.6 Flow of the Screening Process ............................................................ 39 1.4.2.7 Reference Standard ............................................................................. 40 1.4.2.8 Diagnostic Modalities and Operators .................................................. 40 1.4.2.9 Retinal Color Digital Video Recording .............................................. 41
22
1.4.2.10 Data Processing and Interpretation ................................................... 41 1.4.2.11 Statistical Analyses ........................................................................... 42
2. Literature Review ................................................................................................. 44 2.1 Diabetes Mellitus .............................................................................................. 44
2.1.1 Definition and Diagnostic Criteria ............................................................. 44 2.1.2 Classification and Pathogenesis ................................................................. 46 2.1.3 Epidemiology ............................................................................................. 47 2.1.4 Clinical Features ........................................................................................ 47
2.2.4.1 Screening Practices among Primary Eye Care Providers in Australia ............................................................................................. 56
SECTION 2: EVALUATION OF DIABETIC RETINOPATHY SCREENING PRACTICES IN THE PRIMARY EYE CARE SETTING IN AUSTRALIA ............................................................................................................. 63 3. CHAPTER 1: DIABETIC RETINOPATHY MANAGEMENT BY AUSTRALIAN OPTOMETRISTS ......................................................................... 63
SECTION 3: RETINAL STILL PHOTOGRAPHY: NOVEL, EASY-TO-OPERATE AND EFFECTIVE DIAGNOSTIC DEVICES FOR DIABETIC RETINOPATHY SCREENING IN THE PRIMARY EYE CARE SETTING IN AUSTRALIA ....................................................................................................... 89 5. CHAPTER 3: LIGHT AND PORTABLE DEVICE FOR DIABETIC RETINOPATHY SCREENING .............................................................................. 89
6. CHAPTER 4: DIABETIC RETINOPATHY SCREENING: CAN THE VIEWING MONITOR INFLUENCE THE READING AND GRADING OUTCOMES ........................................................................................................... 104
SECTION 4: NOVEL VIDEO-BASED IMAGING TECHNOLOGY FOR DIABETIC RETINOPATHY SCREENING ....................................................... 118 7. CHAPTER 5: RETINAL VIDEO RECORDING: A NEW WAY TO IMAGE AND DIAGNOSE DIABETIC RETINOPATHY ................................. 118
8. CHAPTER 6: RETINAL VIDEO RECORDINGS AT DIFFERENT COMPRESSION LEVELS: A NOVEL, VIDEO-BASED IMAGING TECHNOLOGY FOR DIABETIC RETINOPATHY SCREENING ................ 133
factor (IGF), platelet-derived growth factors and pigment-derived factor (PEDF)).58-60
The accumulation of sorbitol damages vascular cells and pericytes, leading to the
thickening of retinal vascular endothelial cell basement membranes and the closure of
retinal capillaries.
55
Development of diabetic retinopathy changes61
Classification
Microvascular dysfunction à narrowing of blood vessels and increasing vessel permeability
Chronic hyperglycemia
Formation of microaneurysms and retinal hemorrhages
Persistent capillary non-perfusion à development of cotton wool spots, venous beading and intra-retinal microvascular abnormalities
Prolonged period of hypoxia à formation of new vessels on retina, posterior vitreous and iris (rubeosis iridis)
If left untreated à increased risk of developing blinding complications such as vitreous hemorrhage, pre-retinal/subhyaloid hemorrhage and rubeiotic glaucoma
56
2.2.3 Epidemiology
According to the WHO, it is estimated that DR accounts for 4.8% of the number of
cases of blindness (37 millions) worldwide.62 A pooled analysis of data from eight
population-based eye surveys conducted by the US National Eye Institute (NEI)
showed that the overall crude prevalence of DR and STDR in people aged 40 years or
over who were known to have DM were 40.3% and 8.2% respectively.63 The
prevalence of DR and STDR in T1DM was found to be much higher than T2DM.
According to the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR)
and the New Jersey population study, 82% of T1DM had DR changes, including 32%
with STDR changes.64 In contrast, the Liverpool Diabetic Eye Study65 and the United
Kingdom Prospective Diabetes Study (UKPDS)66 reported that the prevalence of DR
in T2DM was 25% and 27% respectively, with 1% of STDR. In Australia, the
prevalence rate of DR in patients with known DM ranges from 22% to 35%, while for
STDR, it ranges from 1.2% to 7.1% (AusDiab study,2 Blue Mountains Eye Study
(BMES),67 Melbourne Visual Impairment Project (MVIP)68 and Newcastle Diabetic
Retinopathy Study69,70). Further, the BMES reported a five-year incidence of DR and
PDR of 22.2% and 1.5% respectively for people with diabetes.
2.2.4 Diabetic Retinopathy Screening
2.2.4.1 Screening Practices among Primary Eye Care Providers in Australia
In Australia, DR screening is mainly performed by primary care physicians, including
GPs and optometrists. There were approximately 941,000 Australians with diabetes in
2000,1 and it is projected that this figure will increase to 1.6 million by 2030.71 In
1997, the NHMRC published clinical practice guidelines for DR management,
including different screening and treatment modalities. The guidelines recommended
57
that all examiners should assess patients’ best-corrected visual acuity and perform a
dilated fundus examination at the time of the diagnosis of diabetes. Alternatively, a
dilated fundus examination could be replaced by retinal photography. In addition, it is
crucial to obtain a thorough diabetes history, such as HbA1c (glycosylated
hemoglobin), blood pressure profile, lipid profile, smoking status and other diabetes-
related complications, as these risk factors may affect the urgency for referral by
primary eye care providers to ophthalmologists.
To evaluate DR screening and referral patterns in the community, McCarty et al.
conducted a self-administered questionnaire survey among primary eye care providers
and ophthalmologists in 1997 and 1999, in conjunction with the release.3-5 A self-
administered two-page questionnaire was sent to ophthalmologists and optometrists. It
consisted of the primary eye care providers’ demographics, practice location, barriers
to performing dilated fundoscopy, practice patterns and 10 hypothetical case scenarios
on different levels of DR. The researchers found that optometrists were generally
more conservative and less compliant with the guideline recommendation in terms of
screening intervals. The distribution of NHMRC guidelines to optometrists and
ophthalmologists had a minimal effect on management practices. To increase the
awareness of DR among primary eye care providers, the Australian Diabetes Society
disseminated a color information sheet on the management of DR.72 A revised version
of these guidelines was released 10 years later, in 2007. To date, no studies have
evaluated the practice patterns in DR management among primary eye care providers
(optometrists and GPs).
58
2.2.4.2 Diabetic Retinopathy Screening Classification System
Early detection and prompt treatment have been reported to be able to prevent up to
98% of diabetes-related visual impairment.73 At present, various DR screening
programs around the world use different DR classification systems. 9,74,75 For research
studies, the most commonly used retinal photography screening method is the Airlie
House seven standard 30° stereoscopic fields (see Figure 2.6)74, graded using the
ETDRS grading system (see Table 1.2), which consists of six levels of retinopathy for
one eye or 11 levels for both eyes.75 To simplify the DR classification system, the
WHO divided the DR severity into three levels: i) lesions that could be reviewed in
the clinic in a few months; ii) lesions that need a referral as soon as possible; and iii)
sight-threatening retinopathy, which requires immediate referral.76 Due to the
complexity of ETDRS, Wilkinson et al. released the International Clinical Diabetic
and Diabetic Macular Edema Disease Severity Scales in 2003 (see Table 1.1).8 This
classification is much simpler and more user-friendly among primary eye care
physicians, allowing better communication between ophthalmologists and other health
care professionals.
59
Figure 2.6: Airlie House seven standard 30° stereoscopic fields on right eye
Field 1: optic disc; field 2: macula; field 3: lateral macula; field 4: superior temporal;
field 5: inferior temporal; field 6: superior nasal; field 7: inferior nasal
2.2.4.3 Diabetic Retinopathy Screening Modalities
DR screening is performed in various ways by different health care professionals such
as optometrists77,78 and GPs,78,79 including direct ophthalmoscopy,6 dilated slit lamp
biomicroscopy with a hand-held lens (90 D or 78 D),10 mydriatic or non-mydriatic
retinal photography6 and tele-retinal screening.80 In addition, the sensitivity and
specificity of the number of retinal fields performed during DR screening were
evaluated, as well as the type of devices and screeners with variable ophthalmic
experience.
Of the screening methods, 30° stereoscopic seven-field fundal photography by a
trained practitioner remains the gold standard for DR screening.9 According to the
National Institute for Clinical Excellence (NICE) guidelines, DR screening tests
should have sensitivity and specificity of at least 80% and 95% respectively, with a
technical failure rate of no more than 5%.81 The technical failure rate has been
60
reported to be higher in non-mydriatic and wide-angle field (e.g., 50°) retinal
photography.82,83 At present, few studies have reported on the technical failure rate of
screening exercises, which may affect the effectiveness and cost-effectiveness of a
particular screening device/method. For unreadable or ungradeable retinal images,
patients will ideally warrant referrals to see ophthalmologists due to the undetermined
DR state and other co-existing visually significant pathologies such as dense cataracts,
rubeotic glaucoma with hazy cornea or vitreous hemorrhages.
Non-mydriatic retinal photography does not require any dilating drops (which can
potentially blur vision for up to six hours and precipitate acute angle closure in
patients with narrow iridocorneal angles). Hence, it is a popular screening technique
in the primary eye care setting. Nevertheless, non-mydriatic retinal photography has
drawbacks, including a higher technical failure rate resulting from media opacity or
small pupils, and difficulty in obtaining stereoscopic views. Various studies have
reported on the sensitivity and specificity for the detection of any DR, PDR or STR by
practitioners with varied ophthalmic experience, including research associates,
physicians, optometrists using different reference standards such as seven-field
stereoscopic view, dilated indirect and biomicroscopy (78D) by ophthalmologists and
clinical assistants.82,83 One study showed sensitivity and specificity up to 98% and 90%
respectively for non-mydriatic retinal photography in detecting threshold
retinopathy.84 However, very few studies could reproduce similar detection rates.
Further, Lin et al. reported sensitivity of 78% and specificity of 86% in DR needing
referral for non-mydriatic monochromatic digital photographs, with reference to
stereoscopic seven-field retinal photography,83 demonstrating another potential
modality for DR screening.
61
Conversely, mydriatic retinal photography is more reliable and allows not only better-
quality retinal images, but also a lower technical failure rate. It has been shown to
have a minimum sensitivity of at least 80% in the detection of any grade of DR.81 For
STR, sensitivity and specificity increased to 97% and 92% respectively. Despite the
significant increase in the detection rate of DR for mydriatic compared to non-
mydriatic retinal photography, the safety of pupil dilation remains one of the fearful
complications among primary eye care physicians. The incidence of acute angle-
closure glaucoma (AACG) caused by pupil dilation is up to six per 20,000 people, and
narrow angles have also been shown to be a poor predictor of the likelihood of
mydriatic-induced AACG.85 Compared to tropicamide alone, a combination of 2.5%
phenylephrine and 1% tropicamide has been shown to better dilate pupils.86
2.2.4.3 Novel Imaging Modalities for Diabetic Retinopathy Screening
Optical coherence tomography (OCT) is a non-invasive, noncontact imaging modality
that uses low-coherence interferometry to measure optical wave reflectivity and
capture cross section image of retina. Spectral domain OCT (SD-OCT, Spectralis,
Heidelberg Engineering, Germany) and swept source optical coherence tomography
(SS-OCT, Topcon Medical System, Japan) are the two main OCT devices in the
market and they are useful in detecting diabetic macular edema (DME) and clinically
significant macular edema (CSME). The use of OCT may reduce the false positive
referrals of patients suspected with DME/CSME, based on the presence of a few
microaneurysms or hard exudates around the macula area. Furthermore, optical
coherence angiography (OCA) is the latest OCT device that has the ability to analyze
blood flow and the retinal vascular bed without the need of intravenous contrast. This
device is potentially useful to prognosticate the visual potential of people with
62
diabetic retinopathy, based on the amount of capillary dropout around the macula
area.87
Ultra wide-field (UWF) fundus imaging technology has been implemented for DR
screening. It is able to capture a 200° wide-field image in a single photograph by
combining an ellipsoid mirror with a scanning laser ophthalmoscope. This technology
has been incorporated into various devices, including Optos (Marlborough, MA),
Optomap 200Tx, Daytona imaging systems, and Heidleberg Engineering (Carlsbad,
CA). As compared to the standard imaging, the ultrawidefield imaging was reported
to improve DR diagnostic accuracy by 15% to 17% by detecting more peripheral
lesions, with a lower technical failure rate of 3% and quicker image evaluation
time.88,89 This screening modality may improve the physicians’ ability to diagnose and
manage diabetic eye disease, given that 10 to 15% of standard fundus images captured
in multiple retinal locations is incorrect.89
Volk Pictor (Volk Optical, Inc., USA) is a light and portable digital imaging device
that provides a variety of imaging capabilities with interchangeable modules. It allows
digital still and video images to screen for DR. In addition, a few other imaging
modalities such as the adaptive optics,90-92 retinal function imager93,94 and metabolic
imaging95 of the retina had been described to help with DR diagnosis and
prognostication. Nevertheless, more research is required to further evaluate the
clinical and cost-effectiveness of these devices in the setting of DR screening.
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SECTION 2: EVALUATION OF DIABETIC RETINOPATHY SCREENING
PRACTICES IN THE PRIMARY EYE CARE SETTING IN AUSTRALIA
3. CHAPTER 1: DIABETIC RETINOPATHY MANAGEMENT BY
AUSTRALIAN OPTOMETRISTS
3.1 Summary
This is the first tenth-year survey on the current DR screening and management
practices of Australian optometrists following the release of the 1997 NHMRC
Diabetic Retinopathy Management Guidelines. It is a cross-sectional national survey
in which a self-administered questionnaire was sent to 1,000 optometrists throughout
all states during 2007/2008, inquiring on the use of retinal cameras, screening
practices/attitudes and behavior in DR management. A total of 568 optometrists (57%)
responded to the survey. Patients’ unpreparedness to drive post-dilation (51%) and the
fear of angle-closure glaucoma (13%) were the two main barriers to optometrists
performing dilated ophthalmoscopy. Those who had a strong desire to screen for DR
were more likely to use a retinal camera (p<0.005). The use of a retinal camera was
significantly associated with increased confidence in detecting clinical signs of DR,
including macular edema (p<0.001). Optometrists who read the guidelines at least
once were 2.5 times (p<0.001) more likely to have confidence in detecting macular
edema than those who had never read the guidelines. Although they may be confident
in diagnosis and may use retinal cameras for screening, nearly 60% of optometrists
would not refer patients with macular edema to an ophthalmologist. In conclusion, the
management of macular edema by Australian optometrists needs improvement,
64
despite their strong self-reported desire for involvement in DR. The use of retinal
cameras and the promotion of the 2008 NHMRC guidelines should be encouraged to
improve overall optometric DR management, particularly with macular edema.
3.2 Introduction
The prevalence of diabetes mellitus is growing rapidly worldwide.1 In 2000, there
were approximately 941,000 Australians living with diabetes and it is estimated that
by 2030, this will rise to 1.6 million.1 Diabetic retinopathy (DR) occurs in 25% of
patients with diabetes in Australia.2 As 98% of visual impairment secondary to DR
can be prevented by timely treatment, early detection is crucial.73
As the primary eye care providers, the optometrists and general practitioners play an
enormous role in diabetic retinopathy screening in the community. As part of routine
DR screening, the National Health and Medical Research Council (NHMRC)
Guidelines96 recommended that all examiners should assess patients’ best corrected
visual acuity and perform dilated fundus examination at time of diagnosis of diabetes.
Alternately, the dilated fundus examination may be replaced by retinal photography.
Additional information such as HbA1c (glycosylated hemoglobin), blood pressure
profile, lipid profile, smoking status and other diabetes-related complications may
also help in determining the urgency for referrals.
Australian optometrists have previously been surveyed in 1999 and 2001 3,4 following
the release of the original 1997 NHMRC guidelines on DR management.97 A revised
version of these guidelines was released in late 2008.96 However, to date no published
studies have examined the long-term impact of these guidelines on DR screening and
management practices among Australian optometrists.
65
Our aim was to identify any changes in DR screening and management practices that
have occurred over the last decade following the release of these national guidelines.
This will provide information that will guide the implementation of the revised
guidelines, as well as establishing updated data for future evaluation.
3.3 Methods
We conducted a cross-sectional survey of currently practicing Australian optometrists.
A random sample of 1,000 optometrists was selected from the Optometrists
Association of Australia membership database (4,414 members). A self-administered
three-page questionnaire, an information pamphlet about the objectives of this study
and a postage-paid return envelope were mailed to each selected optometrist in
November 2007. A repeat mail-out of surveys to non-respondents was conducted after
three months to maximize responses. The University of Western Australia Human
Research Ethics Committee approved this study.
The questionnaire used for this study was adapted from two previous surveys
conducted by McCarty et al 3,4 to allow temporal comparison regarding DR
management practices by Australian optometrists. The survey instrument comprised
questions relating to general professional and practice details; and DR screening
attitudes and practices (e.g. perceived barriers and estimated frequency of performing
dilated fundoscopy on diabetic patients, confidence in detecting sight-threatening DR,
desire to participate in community screening and perceived need for further education
on DR).
Optometrists were surveyed about their management practices using 12 hypothetical
clinical scenarios. The first seven scenarios involved patients of different ages (7, 18
and 60 years of age), varying diabetic treatment (diet alone, oral hypoglycemic agent
66
or insulin) and who had no DR detected at their first visit. The last five scenarios
focused upon DR management following the detection of microaneurysms, retinal
hemorrhages, new vessels formation and macular edema. Optometrists were given
five choices of performing dilated fundoscopy in less than 6 months, 1 year, 2 years, 5
years or prompt referral to an ophthalmologist.
All participants remained anonymous throughout data collection and analyses.
Responses were analyzed using Stata 10.0 (StataCorp, College Station, TX) with
significance set at p<0.05 for all analyses. Descriptive statistics were calculated for all
continuous variables. Relationships between categorical variables were explored using
Pearson Chi-square tests. Multivariate logistic regression models were used where
appropriate to explore outcomes of interest (such as the use of a retinal camera and
confidence of detecting DR signs and diabetic macular edema) while controlling for
possible confounding factors of practice location, place of training and years of
practice.
3.4 Results
A total of 568 (57%) optometrists currently practicing in Australia responded to the
survey. Demographic characteristics of the respondent optometrists are shown in
Table 3.1. Our sample size was 13% of the total optometrists practicing in Australia
(total optometrists = 4,414) and the percentage of state and urban/rural distribution of
the respondent optometrists was reasonably comparable to the data published by the
Australian Institute of Health and Welfare (AIHW) in 2006.98 More than 80%
reported receiving a copy of the 1997 NHMRC guideline while only 65% reported
having read them at least once.
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Of the ophthalmic equipment used by optometrists to examine patients with diabetes,
the direct ophthalmoscope was most frequently used (72%), followed by slit lamp
biomicroscopy (65%), binocular indirect ophthalmoscope (56%) and retinal camera
(51%). Almost 15% of optometrists never performed direct ophthalmoscopy whereas
55% of optometrists used a retinal camera in their practices on more than half of their
diabetic patients.
Table 3.2 shows the perceived barriers to optometrists not performing dilated
ophthalmoscopy. Patients’ unpreparedness to drive (51%) and a fear of precipitating
angle closure glaucoma (13%) post dilation were the two leading reported ‘moderate’
to ‘major’ barriers. Only a small number of optometrists reported a lack of confidence
in detecting changes (2%) and uncertainty about DR management (1%) as moderate
to major barriers to performing dilated fundoscopy.
Table 3.3 summarizes reported current practices, examinations procedures and routine
enquiry of risk factors by optometrists. About 90% of optometrists reported either
‘often’ or ‘almost always’ performing dilated fundoscopy on patients with known
diabetes while only 23% would routinely perform dilated fundoscopy on patients
without any history of diabetes or glaucoma. Two thirds always questioned about a
positive diagnosis of diabetes in patients older than 40 years. As part of routine
follow-up for patients with diabetes, 95% of optometrists ‘often’ or ‘almost always’
enquired about blood glucose level, as well as factors such as assessment of blood
pressure, cholesterol level, smoking status and importance of risk factors control to
prevent diabetes complications (Table 3.3).
Almost all optometrists reported being ‘often’ or ‘always’ confident in detecting
microaneurysms (93%) and retinal hemorrhages (97%) but fewer were confident in
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detecting new vessel formation (85%). More than 50% of the optometrists were ‘often’
or ‘always’ unsure in detecting macular edema.
Most optometrists (95%) used a recall system to follow up patients with diabetes for
examination. However, only half reported that more than 70% of their patients would
return to see them within the suggested time frame. When patients were referred to
ophthalmologists, the majority (83%) of referring optometrists reported that more
than 70% of their patients would see their ophthalmologist within the suggested time
frame. The percentage of optometrists expressing ‘moderate’ to ‘strong’ desire to
screen for, and receive further education regarding diabetic retinopathy was 78% and
72% respectively.
Changes in reported management since 19993
The percentage of optometrists performing dilated fundoscopy on diabetic patients
has increased significantly from 75% in 1999 to 89% in 2009 (p<0.001). In addition,
the confidence in detecting sight threatening DR changes (new vessels elsewhere and
macular edema) improved significantly from 1999 and 2009 (new vessels elsewhere:
75% to 85%, p< 0.01; macular edema: 33% to 47%, p<0.001). Significantly, more
optometrists reported using a recall system in 2009 (95%) compared with 1999 (83%).
From 1999 to 2009, there were no significant changes in the potential perceived
barriers such as fear of inducing angle closure glaucoma post dilation (1999: 17%;
2009: 13%), lack of confidence in detecting DR changes (1999: 4%; 2009: 2%),
uncertainty about DR management (1999: 2%; 2009: 1%) and the desire to screen for
DR (1999: 84%; 2009: 78%). In contrast, there was significantly less desire for
further education about DR diagnosis and management from 1999 to 2009 (84% to
72%, p<0.0001).
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Responses to the hypothetical clinical scenarios (Table 3.4)
Only 11% of optometrists reported that they would perform dilated fundoscopy on a
seven year-old child newly diagnosed with diabetes in five years while 17% would
refer this child to an ophthalmologist. Optometrists would still recommend a 12-
month examination for diabetic patients with good glycemic control with no signs of
DR compared with the two-year follow-up recommended by the NHMRC Guidelines
(Table 3.3). Nonetheless, the overall percentage of optometrists following the
NHMRC recommended management practices (dilated fundoscopy within one or two
years of diagnosis, or referral to an ophthalmologist) was greater than observed in
1999. In 2009, the majority of optometrists reported that they would refer patients
with severe non-proliferative DR (90%) and proliferative DR (98%) to an
ophthalmologist. However, only 42% would refer patients with macular edema to an
ophthalmologist for prompt investigation and treatment.
From multivariate logistic regression analyses, optometrists who had a strong desire
to screen for DR were almost twice as likely to ‘often’ or ‘almost always’ use a retinal
camera to examine patients with diabetes after controlling for previous training
location, duration and location of current practice (OR=1.98, 95%CI=1.27-3.10,
p<0.005). When controlled for reading the guidelines, previous training location,
duration and location of practice, optometrists who ‘often’ and ‘always’ used a retinal
camera were more confident in detecting retinal diabetic changes such as
microaneurysms (OR=5.29, 95%CI=2.22-12.40, P<0.001), new vessels formation
elsewhere (OR=4.62, 95%CI=2.56-8.34, P<0.001) and macular edema (OR=2.49,
95%CI=1.51-4.12, P<0.001).
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Reading the guidelines at least once was also associated with increased confidence in
Table 4.3: Barriers to general practitioners performing dilated fundoscopy
Barriers
Not/Minor barrier
Moderate/Major barrier
No confidence in detecting diabetic retinopathy signs 55 (13.6%) 349 (86.4%) Time consuming 109 (26.7%) 300 (73.3%) Patients' refusal to dilation 145 (36.5%) 252 (63.5%) Worry of angle closure glaucoma 223 (55.8%) 177 (44.2%) Lack of dilating drops 251 (62.4%) 151 (37.5%) Unsure of diabetic retinopathy management 328 (82.2%) 71 (17.8%) Lack of ophthalmoscopes 396 (97.8%) 9 (2.2%)
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Table 4.4: General practitioners management of hypothetical clinical scenarios and specific signs of diabetic retinopathy
Clinical scenarios
Appropriate referral
Inappropriate referral
Recommended referral time frame (2008)*
Recommended referral time frame (1997)**
Occasional microaneurysms with normal vision 101 (24.7%) 308 (75.3%) 1 year Non-urgent, routine referral Hard exudates near macula with normal vision 348 (86.6%) 54 (13.4%) 1 month or less Refer urgently Peripheral microaneurysms and retinal hemorrhages 384 (94.8%) 21 (5.2%) 6 months or less Refer urgently Extensive microaneurysms, retinal hemorrhages and cotton wool spots (all peripherally) 407 (99.5%) 2 (0.5%) 3 months or less
Refer urgently
New vessel formation 407 (99.7%) 1 (0.3%) 1 month or less Refer urgently If no signs of DR at baseline examination, 7 yo - newly diagnosed diabetic 338 (80.3%) 83 (19.7%) At puberty Refer in 5 years 18 yo - newly diagnosed diabetic*** 351 (84.0%) 67 (16.0%) 1 to 2 years Yearly, no later than 2 yearly 60 yo with good HbA1c control – diet**** 284 (67.2%) 139 (32.8%) 2 years Yearly, no later than 2 yearly 60 yo, 10 years diabetes, commenced on OHA*** 361 (84.9%) 64 (15.1%) 1 to 2 years Yearly, no later than 2 yearly 60 yo, 10 years diabetes with good HbA1c on OHA**** 289 (68.5%) 133 (31.5%) 2 years Yearly, no later than 2 yearly 60 yo, 10 years diabetes with good HbA1c on insulin**** 269 (63.4%) 155 (36.6%) 2 years Yearly, no later than 2 yearly 60 yo, poorly controlled HbA1c despite insulin 306 (72.0%) 119 (28.0%) 1 year Yearly, no later than 2 yearly
Table 5.4: Sensitivity, specificity and Kappa correlations of overall diabetic retinopathy
grading by a consultant ophthalmologist and a medical officer from color fundus photographs of EyeScan (Ophthalmic Imaging System, CA) and FF450 (Carl Zeiss,
North America), with reference to slit lamp biomicroscopy examination by a consultant
In our study, we utilized the International Clinical Diabetic Retinopathy Severity Scale
(Table 5.1) 8 as the grading system as it is much more simplified with less severity levels and
diagnostic criteria, as compared with the Early Treatment Diabetic Retinopathy Study
(ETDRS) classification system (Table 5.6).9 In addition, the slit lamp examination was
chosen as the reference standard given that it has been shown to be compared favorably with
the 7-field stereoscopic 30 degrees ETDRS.10 In addition, it is easy to perform, less time
consuming and more tolerable especially when all patients had to undergo two sets of retinal
still imaging on EyeScan and FF450 plus. Should the quality of the retinal still images were
compromised due to the presence of cataracts or pterygiums (encroaching the visual axis), the
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slit lamp examination by an ophthalmologist would be more accurate than the retinal still
images captured using 7-field ETDRS.
In this study, we have shown that with reference to the slit lamp examination, both readers
had comparable sensitivity and specificity in grading diabetic retinopathy from retinal
photographs captured using the EyeScan machine or FF450 plus (Table 5.4). Both devices
had a sensitivity and specificity of 100% in detecting sight-threatening diabetic retinopathy
changes. Additionally, the kappa statistics of EyeScan and FF450 plus for the detection of all
diabetic retinopathy signs, except for macular edema, were more than 0.8 (Table 5.5). Since
the images obtained from EyeScan showed excellent sensitivity, specificity, and kappa
coefficients in diagnosing diabetic retinopathy, it could be used as reliably as currently used
cameras for the screening of diabetic retinopathy.
The color fundus images from both devices graded by the ophthalmologist and medical
officer had kappa coefficients of less than 0.8 for detecting diabetic maculopathy (Table 5.5).
Since retinal photographs provide only two-dimensional views of the retina, color fundus
images do not afford easy identification of any retinal thickening or macular edema. In this
study, we diagnosed diabetic maculopathy on the basis of the presence of hard exudates,
microaneurysms, and retinal hemorrhages close to the macular area. Presence of these lesions
in the macula region should always prompt an urgent referral.
In order to evaluate the usability of EyeScan, a medical officer with no previous experience
in ocular imaging was recruited as the operator of the device. He received a single day’s
training on the device prior to the screening. The technical failure rate of the FF450 plus
operated by an experienced retinal photographer (10 years of experience on retinal still
photography for diabetic retinopathy screening) and the EyeScan were similar (8.5% versus
7%, p > 0.05). These figures show that EyeScan may be used by non-experienced personnel
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with minimal training. Further studies will be of great value in evaluating the user-
friendliness of the EyeScan for both medical and non-medical personnel in the primary health
care and tele-ophthalmology setting.
In our study, assessments by both readers had excellent sensitivity, specificity, and kappa
coefficients in detecting and grading diabetic retinopathy using the color fundus images
captured by both devices (Tables 5.4 and 5.5). These results indicate that non-specialist
personnel such as primary care physicians and allied health personnel can be trained to screen
for diabetic retinopathy in the primary health care setting. The EyeScan will be a suitable
device to be utilized in a tele-ophthalmology setting as it requires small storage capacity for
its lower resolution files and thus, the available bandwidth would better handle the transfer
and archives of the images form community to centralized screening center. Further research
is required to evaluate the cost effectiveness of using EyeScan in a community and tele-
ophthalmology setting, using primary eye care providers, such as optometrists, general
practitioners, orthoptists, and diabetes nurses, to screen for diabetic retinopathy. The
ophthalmologist will not be able to service the projected increase in numbers of patients with
diabetes. Optimizing use of people resources, embracing new and affordable technology will
be necessary to effectively screen these patients and therefore reduce the impact of diabetic
retinopathy related visual impairment.
The strength of our study was that all recruited patients underwent color fundus photo
imaging by using both devices (EyeScan and FF450 plus), and this allowed a head-to-head
comparison between the 2 devices. In addition, we have utilized 2 different statistical
methods (sensitivity/specificity and Cohen’s kappa statistics) and 2 readers (an
ophthalmologist and a medical officer) to increase the reliability and validity of our study
findings. In contrast, our study carries a few limitations, one of which was that the slit-lamp
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examination (reference standard) was performed by a single senior consultant
ophthalmologist. In addition, all patients successively underwent 2 sets of retinal still
photography within a short period of time, and this could have contributed to the technical
failure that had occurred as a consequence of patients’ intolerance to bright light from both
the devices.
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6. CHAPTER 4: DIABETIC RETINOPATHY SCREENING: CAN THE
VIEWING MONITOR INFLUENCE THE READING AND
GRADING OUTCOMES
6.1 Summary
To increase primary eye care providers’ interest and desire to screen for DR, we conducted a
study to explore the possibility of using smaller, portable reading devices for the image
reading and grading of DR. This single-center experimental case series evaluated reading
devices for DR screening. A total of 100 sets of three-field (optic disc, macula and temporal
views) color retinal still images (50 normal and 50 with DR) captured by FF450 plus (Carl
Zeiss, Meditec, US) were interpreted on a 27-inch iMac, a 15-inch MacBook Pro and a 9.7-
inch iPad. All images were interpreted by a retinal specialist and a medical officer. We
calculated the sensitivity and specificity of a 15-inch MacBook Pro and a 9.7-inch iPad in the
detection of DR signs and grades, with reference to the reading outcomes obtained using a
27-inch iMac reading monitor. In the detection of any grade of DR, the 15-inch MacBook Pro
had sensitivity and specificity of 96% (95% confidence interval (CI): 85.1–99.3) and 96%
(95% CI: 85.1–99.3) respectively for the retinal specialist and 91.5% (95% CI: 78.7–97.2)
and 94.3% (95% CI: 83.3–98.5) respectively for the medical officer, while for the 9.7-inch
iPad, they were 91.8% (95% CI: 79.5–97.4) and 94.1% (82.8–98.5) respectively for the
retinal specialist and 91.3% (95% CI: 78.3–97.1) and 92.6% (95% CI: 81.3–97.6)
respectively for the medical officer. In conclusion, the 15-inch MacBook Pro and the 9.7-inch
iPad had excellent sensitivity and specificity in detecting DR; hence, both screen sizes can be
utilized to effectively interpret color retinal still images for DR remotely in a routine, mobile
or tele-ophthalmology setting. Future studies could explore the use of more economical
105
devices with smaller viewing resolutions to reduce the cost implementation of DR screening
services.
6.2 Introduction
Diabetic retinopathy screening programs have been implemented worldwide to enable early
detection of diabetic retinopathy, which if treated appropriately, will minimize severe visual
impairment.73 By 2030, it is estimated that the total number of people with diabetes will rise
to 366 million.1 Due to the rising prevalence of diabetes, the current screening services in
developing and developed countries will be faced with increasing costs of implementation
and maintenance of a screening program for the people with diabetes.114 It is therefore
prudent that stakeholders continue to look for different ways of servicing the increasing
diabetic population, and at the same time minimizing the economical impact of screening
programs within the community.
To date, various studies have evaluated various parameters which may affect the sensitivity,
specificity and cost effectiveness in screening diabetic retinopathy, including numbers of
retinal fields,10 color or monochromatic fundus photographs,83 mydriatic status,6,117
photographers and readers with different medical qualifications,117 automated grading
system,109 use of an economical retinal camera110 and retinal video recording technique.120
However, none of the studies have compared the use of different viewing monitors for the
reading and grading of diabetic retinopathy from the digital color fundus photographs.
To date, the use of small viewing monitors in screening for diabetic retinopathy has become
an emerging trend among the ophthalmologists or professional graders as they can utilize
them remotely without being physically present at the reading center. Due to the growing
popularity of these mobile and portable technologies, the purpose of our study is to evaluate
the efficacy of using different portable and mobile devices with varying viewing monitors
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(15-inch MacBook Pro and 9.7-inch iPad) to detect subtle diabetic retinopathy changes
(microaneurysms and dots hemorrhages) and diagnose the severity level. This also helps to
determine the suitability of using smaller and more affordable portable devices to interpret
the color retinal images for grading of diabetic retinopathy.
6.3 Methods
Design and Data Acquisition
This is a single center case series to evaluate different screening resolutions to interpret
retinal color still images for diabetic retinopathy screening. A total of 100 sets of non-stereo
mydriatic 3-field (optic disc, macula and temporal views) 35 degrees color retinal still images
consisting of 50 normal and 50 with diabetic retinopathy were selected into our study. The
quality of all recruited retinal images were at least ‘acceptable’ (more than two-third of
retinal images were ‘interpretable’) based on the reading outcomes using a 27-inch iMac (the
standard viewing screen in our reading center). All images were captured using FF 450 plus
(Carl Zeiss, Inc., North America) by an experienced retinal photographer at the Diabetic
Retinopathy Screening Clinic of Royal Perth Hospital and downloaded in Joint Photographic
Experts Group (JPEG) format. The color resolution of all images was fixed at 2588 x 1958
pixels. This study has been approved by the Royal Perth Hospital Human Research Ethics
committee.
Data Interpretation
All images were de-identified, randomized and interpreted by two readers (a retinal specialist
and a medical officer) in a dark room using the standardized Apple software – iPhoto (Apple,
CA, USA) on three monitors with different sizes – 27-inch iMac (Apple, CA, USA), 15-inch
MacBook Pro (Apple, CA, USA) and 9.7-inch iPad (Apple, CA, USA). All images were
107
interpreted on the specific three monitors with calibrated brightness at 100%; target white
point at D65; and target gamma at 2.2 using software named Display Calibrator Assistant.
The specification of the reading devices were listed in Table 6.1. The quality of retinal
images was rated as ‘acceptable’ or ‘uninterpretable’ by the readers. The diabetic retinopathy
severity level was graded based on presence/absence of microaneurysms, retinal hemorrhages,
cotton wool spots, venous beading, intraretinal microvascular abnormalities, new vessels
formation and hard exudates using the International Clinical Diabetic Retinopathy Severity
Scales8 (Table 6.2).
Sample size estimation
To allow for a power of 95%, desired precision of 0.10, expected sensitivity and specificity
of 90%, the total number of eyes required for each device was 71 (prevalence was set at 0.50
as the selected samples consisted of 50% normal and 50% abnormal retinal color still images).
Statistical Analyses
All data were analyzed using SPSS version 17 (SPSS, Chicago, IL, USA). The sensitivity,
specificity and Kappa correlation coefficient of 15-inch MacBook Pro and 9.7-inch iPad in
detecting diabetic retinopathy lesions and grading were calculated with reference to the
findings on the 27-inch iMac (as the reference standard). Moreover, the Kappa coefficient
was performed on the diabetic retinopathy grading detected on 27-inch iMac for both readers
and diabetic retinopathy lesions detected by 15-inch MacBook Pro and 9.7-inch iPad with
reference to 27-inch iMac.
108
6.4 Results
The mean age [± standard deviation (SD)] of the recruited participants was 51.3 ± 13.8 with
HbA1c of 8.4 ± 1.6 and duration of diabetes of 12.1 ± 8.7. Of the retinal images, 50 (50%)
had no diabetic retinopathy, 16 (16%) had mild non-proliferative diabetic retinopathy
(NPDR), 25 (25%) had moderate NPDR, 7 (7%) had severe NPDR and 2 (2%) had
proliferative diabetic retinopathy (PDR). All retinal images were rated as ‘acceptable’ by the
retinal specialist and medical officer on 15-inch MacBook Pro and 9.7-inch iPad.
For 27-inch iMac (the ‘reference standard’ of our study), both retinal specialist and medical
officer had a Kappa correlation of 0.88 in detecting the overall diabetic retinopathy grading.
In detection of any grade of diabetic retinopathy on 15-inch MacBook Pro, the retinal
specialist had sensitivity and specificity of 96% and 96% respectively while the medical
officer had 91.5% and 94.3% respectively with reference to the 27-inch iMac (Table 6.3). On
the other hand, the sensitivity and specificity in detecting any grade of diabetic retinopathy on
9.7-inch iPad for retinal specialist were 91.8% and 94.1% respectively whereas for medical
officer, they were 91.3% and 92.6% respectively. For sight threatening diabetic retinopathy,
the retinal specialist had 100% sensitivity and specificity on both reading devices whereas for
medical officer, the sensitivity and specificity were 100% and 97.7% respectively on both
devices.
The iPad had lower sensitivity and specificity (retinal specialist: 89.1% and 96.3%
respectively; medical officer: 87.5% and 98.1% respectively) in detecting microaneurysms by
both readers compared to MacBook Pro (sensitivity- retinal specialist: 100% and 96.3%
respectively; medical officer: 95.8% and 100% respectively) (Table 4.4). Both devices had
comparable sensitivity and specificity in detecting retinal hemorrhages by both readers (Table
6.4).
109
For retinal specialist, the Kappa coefficient for 15-inch MacBook Pro and 9.7-inch iPad in
detection of any grade of diabetic retinopathy were 0.94 and 0.89 respectively whereas for
medical officer, they were 0.89 and 0.88 respectively with reference to 27-inch iMac. The
Kappa coefficient in detecting all diabetic retinopathy signs (microaneurysms, retinal
hemorrhages, cotton wool spots, new vessels formation and hard exudates) by both readers
were more than 0.80 (Table 6.5).
Table 6.1: Specifications and prices of 27-inch iMac, 15-inch MacBook Pro and 9.7-inch iPad (The indicated prices are obtained in United States Dollars)
27-inch iMac
15-inch MacBook Pro
9.7-inch iPad
(Wi-Fi + 3G)
Monitor Screen (inch) 27 15 9.7
Screen resolution (pixels) 1920 x 1080 1440x900 1024x768
Graphics Processor
ATI Radeon HD
4670
NVIDIA GeForce
320M A4 1Ghz
Weight (kg) 13.8 2.54 0.73
Price (USD) $1,699 $1,799 $629
110
Table 6.2: International Clinical Diabetic Retinopathy Severity Scales9
Grades Retinal findings
None No abnormalities
Mild NPDR Microaneurysms only
Moderate NPDR More than just microaneurysms
but less than severe NPDR
Severe NPDR Any of the following:
i. Extensive (>20) intraretinal hemorrhages in each of 4
quadrants
ii. Definite venous beading in 2+ quadrants
iii. Prominent IRMA in 1+ quadrant
AND no signs of proliferative DR
Proliferative DR One or more of the following:
i. Neovascularization
ii. Vitreous/Preretinal hemorrhage
NPDR: Non-proliferative diabetic retinopathy
DR: Diabetic retinopathy
111
Table 6.3: The sensitivity, specificity and Kappa coefficient of 15-inch MacBook Pro
and 9.7-inch iPad in detecting diabetic retinopathy grading by a retinal specialist and a medical officer with reference to 27-inch iMac
Any Grade of Diabetic Retinopathy Sensitivity Specificity Kappa
Retinal Specialist (95% CI) (95% CI)
15-inch MacBook Pro 96% (85.1-99.3) 96% (85.1-99.3) 0.94
i. Extensive (>20) intraretinal hemorrhages in each of 4
quadrants
ii. Definite venous beading in 2+ quadrants
iii. Prominent IRMA in 1+ quadrant
AND no signs of PDR
PDR One or more of the following:
i. Neovascularization
DME apparently absent
DME apparently present
ii. Vitreous/Preretinal hemorrhage
No apparent retinal thickening or hard exudates in posterior
pole
Some apparent retinal thickening or hard exudates in posterior
pole
NPDR: Non-proliferative diabetic retinopathy
PDR: Proliferative diabetic retinopathy
IRMA: Intraretinal microvascular abnormalities
DME: Diabetic macular edema
127
Table 7.2: Patient characteristics and their diabetes history
Patient demographics
Mean (± SD) age (years) 52.8 ± 15.1
Ethnicity (n,%)
i. Caucasian
ii. Asian
75 (75%)
15 (15%)
iii. Indigenous 6 (6%)
iv. Others 4 (4%)
Diabetes History
Mean (±SD) duration of diabetes (years) 13.7 ± 9.7
Mean (±SD) HbA1c (%) 8.0 ± 1.7
Type 1 (Insulin Dependent) 60 (30%)
Type 2
i. Non Insulin Dependent 94 (47%)
ii. Insulin Dependent 46 (23%)
SD: Standard deviation, HbA1c: Glycosylated Hemoglobin
Table 7.3: The sensitivity, specificity and Kappa correlation coefficient for retinal
photography (FF450 plus, Carl Zeiss Inc., North America) and retinal video recording (EyeScan, Ophthalmic Imaging System, CA, US) with reference to slit lamp
biomicroscopy examination
Sensitivity Specificity Kappa
(95% CI) (95% CI)
Ophthalmologist 1 Retinal still photography
91.8%
(81.1 - 96.9) 98.4%
(93.8-99.7) 0.93
Retinal video recording
93.8% (84.2 - 98.0)
99.2% (94.7-99.9)
0.95
Ophthalmologist 2 Retinal still photography
92.1%
(81.7-97.0) 96.8%
(91.6-99.0) 0.91
Retinal video recording
93.3% (83.0-97.8)
95.2% (89.4-98.0)
0.90
128
Table 7.4: The Kappa statistics for retinal videos (EyeScan) and retinal photography
(FF450 plus) by both consultant ophthalmologists compared to the gold standard slit lamp biomicroscopy examination
Retinal findings Kappa statistics Retinal Video Recording Retinal still photography Ophthalmologist 1
(Group 3) and 5MB (Group 4), captured by retinal video recording using OIS EyeScan
(Ophthalmic Imaging System, CA, US), were selected for our study. Given that three-field
(optic disc, macula and temporal views) retinal still photography has been the standard of
care for patients with diabetes in our center, the retinal video recordings were also captured in
a similar manner for the recruited patients in our study. All study subjects were enrolled from
the Diabetic Retinopathy Screening Clinic of Royal Perth Hospital and this study has been
approved by the Royal Perth Hospital Human Research Ethics Committee.
Sample size estimation
To allow for a power of 95%, desired precision of 0.10, expected sensitivity and specificity
of 96%, the total number of eyes required for each compression level was 31 (prevalence was
set at 0.50 as selected samples consisted of 50% normal and 50% abnormal retinal digital
videos).
136
Conversion process
A digital video can exist in various different file formats such as Moving Picture Experts
Group (MPEG), Audio Video Interleave (AVI), Windows Media Video (WMV), QuickTime
Movie File (MOVIE) and etc. It consists of a series of bitmap digital images displayed in a
rapid succession at a constant rate. The size of a video is determined by bit rates (BR) and
time (T). Bit rate, defined as the number of bits processed or conveyed per unit time,
represents the amount of information stored per unit of time of a recording. It is determined
by the frame rate (FR), frame size (FS) and color depth (CD) of a video. The frame rate is
defined as the number of displayed digital images per unit time and it is often measured in a
second (frames per second – FPS). The frame size is the total number of pixels in terms of
width (W) and height (H) of an image. The color depth (CD) represents the amount of bits
that form a single pixel. By altering one of these properties, one can modify the size of a
digital video using various video compression software packages and codecs which are
readily available on the Internet.
For our study, the uncompressed raw retinal videos were compressed to 4 different levels
(Group 1, 2, 3 and 4) from the original file size using a Video Converter Software, Xilisoft
Video Converter Ultimate 6.0 (Xilisoft Corporation, British Virgin Island), which utilizes a
standard video codec H.264 (Table 8.1). The average size of an original uncompressed 30-
second video was 500 MB. In our study, we reduced the 500 MB video file to 4 different
levels (Group 1: 100MB, Group 2: 30MB, Group 3: 20MB and Group 4: 5MB) by changing
the bit rates. The frame rate and frame size were set at 17 frames per second and 640 x 480
pixels respectively as these settings have been preset by the fundus camera (OIS EyeScan).
137
Reference Standard
We utilized the raw uncompressed raw retinal videos as the reference of our study as from
our previous study,4 the sensitivity and specificity of an uncompressed raw retinal videos in
detecting any grade of diabetic retinopathy by a retinal specialist and a consultant
ophthalmologist with special interest in diabetes, compared to the slit lamp examination by a
senior consultant ophthalmologist (with more than 10 years experience in screening diabetic
retinopathy), were more than 90%.
Data Interpretation
The converted videos were randomized and sent to two different readers (a consultant
ophthalmologist and a medical officer) who were blinded to the compression level of the
videos. Each reader interpreted a total of 144 retinal videos (36 retinal videos at 4 different
compression levels) using a standard monitor screen (iMac 27”, Apple, Cupertino, California,
USA) with a VLC media player 1.1.4 (Apple, California, USA) in a dimly lit room. The
International Clinical Diabetic Retinopathy Severity Scales8 was utilized to interpret and
grade the diabetic retinopathy severity by determining the presence/absence of lesions
including microaneuryms, retinal hemorrhages, cotton wool spots, venous beading,
intraretinal microvascular abnormalities, new vessels formation, vitreous hemorrhage,
preretinal hemorrhage and hard exudates. In addition, the retinal videos were rated as
‘acceptable’, ‘pixelated but interpretable’ and ‘unacceptable’ by the readers.
Data Analysis
The data analysis was performed using SPSS version 17 (SPSS, Chicago, IL, USA). The
main outcome measures were the sensitivity, specificity and Kappa coefficient between the
uncompressed raw retinal videos and compressed retinal videos in diagnosing any level of
138
diabetic retinopathy. In addition, the Kappa correlation was performed for other variables
such as 1) the microaneurysms and retinal hemorrhages between the uncompressed and
compressed retinal videos and; 2) the diabetic retinopathy grading between the consultant
ophthalmologist and medical officer using the uncompressed retinal videos. Values of kappa
of 0.8 and above were considered as excellent agreement between two groups for our study.9
6.4 Results
All retinal videos in group 1 (100MB), 2 (30MB) and 3 (20MB) were rated as ‘acceptable’ by
the ophthalmologist and medical officer (Table 8.2). For group 4 (10MB), only 11% and 3%
of the retinal videos were rated as ‘acceptable’ by the ophthalmologist and medical officer
respectively. Of the 18 retinal videos with diabetic retinopathy, 22% (n=4) had mild non-
proliferative diabetic retinopathy (NPDR), 61% (n=11) had moderate NPDR, 11% (n=2) had
severe NPDR and 6% (n=1) had proliferative diabetic retinopathy.
The conversion time for the retinal videos to different compression levels are shown in Table
8.3. Using the uncompressed videos as gold standard, group 1, 2 and 3 graded by both
readers had excellent sensitivity and specificity of more than 90% in detecting diabetic
retinopathy (Table 8.4). On the other hand, group 4 had the lowest sensitivity and specificity
in detecting diabetic retinopathy changes (ophthalmologist 1– sensitivity: 70.6%, specificity:
94.7%; medical officer: sensitivity: 80.0%, specificity: 72.2%).
Also, the Kappa between the gold standard uncompressed videos and group 1, 2 and 3 to
detect diabetic retinopathy-related changes for both readers were more than 0.96 whereas for
group 4, the Kappa for the ophthalmologist and medical officer were 0.76 and 0.66,
respectively. On the other hand, the Kappa between the ophthalmologist and medical officer
for raw uncompressed videos, group 1, group 2, group 3 and group 4 were 0.84, 0.84, 0.80,
0.76 and 0.43, respectively. Similarly, the Kappa correlation of the microaneurysms, retinal
139
hemorrhages, detected by both readers for group 1, 2 and 3 with reference to the gold
standard video files (1GB) were more than 0.9 (Table 8.5). For group 4, the Kappa for the
detection of microaneurysms by the ophthalmologist and medical officer were both 0.87
whereas for retinal hemorrhages, they were 0.88 and 0.87 respectively. The Kappa
correlation of new vessels formation and subhyaloid hemorrhage were 1.0 in group 1 to 4
graded by both ophthalmologist and medical officer, with reference to the uncompressed
videos.
Table 8.1: The file size of a retinal video with different compression levels by reducing
its bit rate while keeping other parameters constant (frame rate, frame size, zoom)
Groups Bit rate (kbps)
Approx. File Size for 60 Seconds
Compression Level Percentage of file size from its original size
Original Uncompressed Raw Video)
165000 1GB - 100%
1 15000 100MB 90%
10%
2 5000 30MB 97%
3%
3 3000 20MB 98%
2%
4 512 5MB 99%
1%
GB: Gigabytes
MB: Megabytes
The setting of other parameters:
1) Frame rate – 17 frames per second; 2) frame size – 640 x 480 pixels; 3) Zoom - Full
140
Table 8.2: The quality of retinal videos (with/without diabetic retinopathy changes) of
different compression levels rated by an ophthalmologist and a medical officer
Ophthalmologist Uninterpretable Pixelated but interpretable Acceptable
Group 1 (100MB) 0 (0%) 0 (0%) 36 (100%)
Group 2 (30MB) 0 (0%) 0 (0%) 36 (100%)
Group 3 (20 MB) 0 (0%) 0 (0%) 36 (100%)
Group 4 (5 MB) 3 (8.3%) 29 (80.6%) 4 (11.1%)
Medical officer
Group 1 (100MB) 0 (0%) 0 (0%) 36 (100%)
Group 2 (30MB) 0 (0%) 0 (0%) 36 (100%)
Group 3 (20 MB) 0% 0% 36 (100%)
Group 4 (5 MB) 3 (8.3%) 32 (88.9%) 1 (2.8%)
MB: Megabytes
Table 8.3: The average conversion timing of an uncompressed raw retinal video (1
Gigabytes) to different compression levels
Compression level Timings (seconds)
Group 1 (100MB) 25
Group 2 (30MB) 18
Group 3 (20 MB) 17
Group 4 (5 MB) 16
MB: Megabytes
The compression was performed using a 32-bit Windows XP, 2.5 RAM, Intel® Xeon®
X5550 Processor 2.67GHz with NVIDIA Quadro FX 580 graphics card (Timings may vary
on different computers with different performance).
141
Table 8.4: The sensitivity, specificity and Kappa correlation of different compression
levels for retinal videos in detecting diabetic retinopathy grading by an ophthalmologist and a medical officer with reference to uncompressed raw retinal videos (1GB)
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Original Article
Diabetic retinopathy management byAustralian optometristsDaniel SW Ting MBBS(Hons),1,2 Jonathon Q Ng MBBS PhD,1 Nigel Morlet FRANZCO,1 Joshua Yuen MBBSMPH,1 Antony Clark MBBS(Hons),1 Hugh R Taylor AC FRANZCO,3 Jill Keeffe OAM PhD4 and David B Preen PhD1
1Eye and Vision Epidemiology Research Group, Centre for Health Services Research, School of Population Health, University ofWestern Australia, Perth, 2Centre of Ophthalmology and Visual Science, Lions Eye Institute, The University of Western Australia, Perth,Western Australia, 3Melbourne School of Indigenous Health, The University of Melbourne, Melbourne and 4Centre for Eye ResearchAustralia, School of Population Health, University of Melbourne, Melbourne, Victoria, Australia
ABSTRACT
Background: To survey the current diabetic retinopa-thy screening and management practices of Austra-lian optometrists following the release of the 1997National Health Medical Research Council DiabeticRetinopathy Management Guidelines.
Design: Cross-sectional national survey, primary caresetting.
Participants: 1000 Australian optometrists across dif-ferent states.
Methods: A self-administered questionnaire was sentto 1000 optometrists across all states during 2007/2008.
Main outcome measures: Use of retinal camera,screening practices/attitudes and behaviour in dia-betic retinopathy management.
Results: 568 optometrists (57%) responded to thesurvey. Patients’ unpreparedness to drive post dila-tion (51%) and the fear of angle closure glaucoma(13%) were the two main barriers to optometristsnot performing dilated ophthalmoscopy. Those whohad strong desire to screen for diabetic retinopathywere more likely to use a retinal camera (p < 0.005).Use of a retinal camera was significantly associatedwith an increased confidence in detecting clinicalsigns of diabetic retinopathy including macularoedema (P < 0.001). Optometrists who read the
guidelines at least once were 2.5-times (P < 0.001)more likely to have confidence in detecting macularoedema than those who had never read theguidelines. Although they may be confident in diag-nosis, and may use retinal cameras for screening,nearly 60% of optometrists would not refer patientswith macular oedema to an ophthalmologist.
Conclusions: Despite their self-reported desire forinvolvement in diabetic retinopathy, the manage-ment of macular oedema by Australian optometristsneeds improvement. The use of retinal cameras andpromotion of the 2008 NHMRC guidelines should beencouraged to improve overall optometric diabeticretinopathy management, particularly with macularoedema.
The prevalence of diabetes mellitus is growingrapidly worldwide.1 In 2000, there were approxi-mately 941 000 Australians living with diabetes, andit is estimated that by 2030, this will rise to 1.6million.1 Diabetic retinopathy (DR) occurs in 25% ofpatients with diabetes in Australia.2 As 98% ofvisual impairment secondary to DR can be preventedby timely treatment, early detection is crucial.3
As the primary eye care providers, the optom-etrists and general practitioners play an enormous
� Correspondence: Dr Daniel SW Ting, Ophthalmology Department, Royal Perth Hospital, GPO Box X2213, Perth 6001, Western Australia. Email:
role in DR screening in the community. As part ofroutine DR screening, the National Health andMedical Research Council (NHMRC) guidelines4
recommended that all examiners should assesspatients’ best-corrected visual acuity and performdilated fundus examination at time of diagnosis ofdiabetes. Alternately, the dilated fundus examina-tion may be replaced by retinal photography. Addi-tional information such as HbA1c (glycosylatedhaemoglobin), blood pressure profile, lipid profile,smoking status and other diabetes-related complica-tions may also help in determining the urgency forreferrals.
Australian optometrists have previously beensurveyed in 1999 and 20015,6 following the releaseof the original 1997 NHMRC guidelines on DRmanagement.7 A revised version of these guidelineswas released in late 2008.4 However, to date nopublished studies have examined the long-termimpact of these guidelines on DR screeningand management practices among Australianoptometrists.
Our aim was to identify any changes in DR screen-ing and management practices that have occurredover the last decade following the release of thesenational guidelines. This will provide informationthat will guide the implementation of the revisedguidelines, as well as establishing updated data forfuture evaluation.
METHODS
We conducted a cross-sectional survey of currentlypractising Australian optometrists. A random sampleof 1000 optometrists was selected from the Optom-etrists Association of Australia membership database(4414 members). A self-administered two-pagequestionnaire, an information pamphlet about theobjectives of this study and a postage-paid returnenvelope were mailed to each selected optometrist inNovember 2007. A repeat mail-out of surveys to non-respondents was conducted after 3 months to maxi-mize responses. The University of Western AustraliaHuman Research Ethics Committee approved thisstudy.
The questionnaire used for this study was adaptedfrom two previous surveys conducted by McCartyet al.5,6 to allow temporal comparison regarding DRmanagement practices by Australian optometrists.The survey instrument comprised questions relatingto general professional and practice details, and DRscreening attitudes and practices (e.g. perceived bar-riers and estimated frequency of performing dilatedfundoscopy on diabetic patients, confidence indetecting sight-threatening DR, desire to participatein community screening and perceived need forfurther education on DR).
Optometrists were surveyed about their manage-ment practices using 12 hypothetical clinical scen-arios. The first seven scenarios involved patients ofdifferent ages (7, 18 and 60 years of age), varyingdiabetic treatment (diet alone, oral hypoglycaemicagent or insulin) and who had no DR detected attheir first visit. The last five scenarios focused uponDR management following the detection of microa-neurysms, retinal haemorrhages, new vessels forma-tion and macular oedema. Optometrists were givenfive choices of performing dilated fundoscopy in lessthan 6 months, 1 year, 2 years, 5 years or promptreferral to an ophthalmologist.
All participants remained anonymous throughoutdata collection and analyses. Responses were analy-sed using Stata 10.0 (StataCorp, College Station, TX,USA) with significance set at P < 0.05 for allanalyses. Descriptive statistics were calculated for allcontinuous variables. Relationships between cat-egorical variables were explored using Pearsonc2-tests. Multivariate logistic regression models wereused where appropriate to explore outcomes of inter-est (such as the use of a retinal camera and confi-dence of detecting DR signs and diabetic macularoedema) while controlling for possible confoundingfactors of practice location, place of training andyears of practice.
RESULTS
A total of 568 (57%) optometrists currently practisingin Australia responded to the survey. Demographiccharacteristics of the respondent optometrists areshown in Table 1. Our sample size was 13% of thetotal optometrists practising in Australia (totaloptometrists = 4414), and the percentage of state andurban/rural distribution of the respondent optom-etrists was reasonably comparable to the data pub-lished by the Australian Institute of Health andWelfare (AIHW) in 2006.8 More than 80% reportedreceiving a copy of the 1997 NHMRC guideline, andonly 65% reported having read them at least once.
Of the ophthalmic equipment used by optom-etrists to examine patients with diabetes, the directophthalmoscope was most frequently used (72%),followed by slit-lamp biomicroscopy (65%), binocu-lar indirect ophthalmoscope (56%) and retinalcamera (51%). Almost 15% of optometrists neverperformed direct ophthalmoscopy whereas 55% ofoptometrists used a retinal camera in their practiceson more than half of their diabetic patients.
Table 2 shows the perceived barriers to optom-etrists not performing dilated ophthalmoscopy.Patients’ unpreparedness to drive (51%) and a fear ofprecipitating angle closure glaucoma (13%) postdilation were the two leading reported ‘moderate’ to‘major’ barriers. Only a small number of optometrists
reported a lack of confidence in detecting changes(2%) and uncertainty about DR management (1%) asmoderate to major barriers to performing dilatedfundoscopy.
Table 3 summarizes reported current practices,examinations procedures and routine enquiry of riskfactors by optometrists. About 90% of optometristsreported either ‘often’ or ‘almost always’ performingdilated fundoscopy on patients with known diabe-tes, and only 23% would routinely perform dilatedfundoscopy on patients without any history of dia-betes or glaucoma. Two-thirds always questionedabout a positive diagnosis of diabetes in patientsolder than 40 years. As part of routine follow up forpatients with diabetes, 95% of optometrists ‘often’ or‘almost always’ enquired about blood glucose level,as well as factors such as assessment of blood pres-sure, cholesterol level, smoking status and impor-tance of risk factors control to prevent diabetescomplications (Table 3).
Almost all optometrists reported being ‘often’ or‘always’ confident in detecting microaneurysms(93%) and retinal haemorrhages (97%), but fewerwere confident in detecting new vessel formation(85%). More than 50% of the optometrists were‘often’ or ‘always’ unsure in detecting macularoedema.
Table 1. Demographics of the optometrists responding to asurvey on diabetic retinopathy screening
Total number (%)
State or Territory of practice – 566New South Wales 195 (34%)Victoria 160 (28%)Queensland 97 (17%)Western Australia 44 (7%)South Australia 42 (7%)Tasmania 20 (4%)ACT 7 (1%)Northern Territory 1 (<1%)
Number of years of practice0–10 42 (7%)11–20 169 (30%)21–30 260 (46%)>30 97 (17%)
Location of practicesMetropolitan 359 (64.1%)Rural 170 (30.4%)Metropolitan and rural 31 (5.5%)
Location of trainingAustralia 520 (92%)UK 25 (4%)South Africa 9 (2%)New Zealand 8 (1%)USA 2 (<1%)Canada 1 (<1%)
Table 2. Barriers to optometrists performing dilated fundoscopy
Barriers Not a barrier Minor barrier Moderate barrier Strong barrier
Table 3. Current optometrists’ management and attitudes to diabetes and diabetic retinopathy
Screening questions and examinations Almost never Sometimes Half the time Often Almost always
On patients >40 years1 Routine questioning about diagnosis of diabetes 20 (4%) 56 (10%) 21 (4%) 80 (14%) 389 (69%)2 Routine dilated fundoscopy without history of diabetes
Most optometrists (95%) used a recall system tofollow up patients with diabetes for examination.However, only half reported that more than 70% oftheir patients would return to see them within thesuggested time frame. When patients were referredto ophthalmologists, the majority (83%) of referringoptometrists reported that more than 70% of theirpatients would see their ophthalmologist within thesuggested time frame. The percentage of optometristsexpressing ‘moderate’ to ‘strong’ desire to screen for,and receive further education regarding DR was 78%and 72%, respectively.
Changes in reported managementsince 19995
The percentage of optometrists performing dilatedfundoscopy on diabetic patients has increased sig-nificantly from 75% in 1999 to 89% in 2009 (P <0.001). In addition, the confidence in detecting sight-threatening DR changes (new vessels elsewhere andmacular oedema) improved significantly from 1999to 2009 (new vessels elsewhere: 75–85%, P < 0.01;macular oedema: 33–47%, P < 0.001). Significantly,more optometrists reported using a recall system in2009 (95%) compared with 1999 (83%). From 1999to 2009, there were no significant changes in thepotential perceived barriers such as fear of inducingangle closure glaucoma post dilation (1999: 17%;2009: 13%), lack of confidence in detecting DRchanges (1999: 4%; 2009: 2%), uncertainty about DRmanagement (1999: 2%; 2009: 1%) and the desire toscreen for DR (1999: 84%; 2009: 78%). In contrast,there was significantly less desire for further educa-
tion about DR diagnosis and management from 1999to 2009 (84% to 72%, P < 0.0001).
Responses to the hypotheticalclinical scenarios (Table 4)
Only 11% of optometrists reported that they wouldperform dilated fundoscopy on a 7-year-old childnewly diagnosed with diabetes in 5 years, and 17%would refer this child to an ophthalmologist.Optometrists would still recommend a 12-monthexamination for diabetic patients with good glycae-mic control with no signs of DR compared with the2-year follow up recommended by the NHMRCguidelines (Table 3). Nonetheless, the overall per-centage of optometrists following the NHMRC-recommended management practices (dilatedfundoscopy within 1 or 2 years of diagnosis, or refer-ral to an ophthalmologist) was greater than observedin 1999. In 2009, the majority of optometristsreported that they would refer patients with severenon-proliferative DR (NPDR) (90%) and prolifera-tive DR (PDR) (98%) to an ophthalmologist.However, only 42% would refer patients withmacular oedema to an ophthalmologist for promptinvestigation and treatment.
From multivariate logistic regression analyses,optometrists who had a strong desire to screen forDR were almost twice as likely to ‘often’ or‘almost always’ use a retinal camera to examinepatients with diabetes after controlling for previoustraining location, duration and location ofcurrent practice (OR = 1.98, 95% CI = 1.27–3.10,P < 0.005).
Table 4. Optometrists’ management of hypothetical clinical scenarios and specific signs of DR
Case scenarios Referral toophthalmologists
Review in5 years
Review in2 years
Review in1 year
Review in<6 months
If no signs of DR at baseline examination7-yo – newly diagnosed diabetic 95 (17%) 63 (11%)† 125 (22%) 183 (33%) 96 (17%)18-yo – newly diagnosed with DM 40 (7%) 16 (3%) 141 (25%)† 255 (45%) 113 (20%)60-yo with good HbA1c control – diet alone 5 (1%) 1 (<1%) 211 (37%)† 290 (51%) 58 (10%)60-yo, 10-year diabetes, commenced on OHA 9 (2%) 0 (0%) 86 (15%)† 374 (66%) 98 (17%)60-yo, 10-year diabetes with good HbA1c on OHA 10 (2%) 1 (<1%) 72 (13%)† 417 (74%) 65 (12%)60-yo, 10-year diabetes with good HbA1c on insulin 21 (4%) 0 (0%) 31 (6%)† 409 (72%) 105 (19%)60-yo, poorly controlled HbA1c despite insulin 79 (14%) 0 (0%) 2 (<1%) 127 (22%)† 360 (63%)
†Recommended time frame suggested by National Health and Medical Research Council guidelines in 1997. DM, diabetes mellitus;DR, diabetic retinopathy; HbA1c, glycosylated haemoglobin; OHA, oral hypoglycaemic agents; yo, year-old.
When controlled for reading the guidelines, pre-vious training location, duration and location ofpractice, optometrists who ‘often’ and ‘always’ useda retinal camera were more confident in detectingretinal diabetic changes such as microaneurysms(OR = 5.29, 95% CI = 2.22–12.40, P < 0.001), newvessels formation elsewhere (OR = 4.62, 95% CI =2.56–8.34, P < 0.001) and macular oedema (OR =2.49, 95% CI = 1.51–4.12, P < 0.001).
Reading the guidelines at least once was alsoassociated with increased confidence in detectingmacular oedema (OR = 2.49, 95% CI = 1.51–4.12,P < 0.001). However reading the guidelines did notimprove referrals for patients with macular oedema(OR = 1.04, 95% CI = 0.65–1.65, P = 0.88). Likewiseconfidence in detecting macular oedema after con-trolling for other factors such as previous traininglocation, duration and location of practice and use ofa retinal camera was not associated with optometricreferrals of patients with macular oedema to anophthalmologist (OR = 0.99, 95% CI = 0.71–1.39,P = 0.97).
DISCUSSION
Our results indicate that DR management practicesof Australian optometrists have improved since therelease of NHMRC guidelines in 1997.7 Comparedwith the two national surveys conducted in 1999 and2001,5,6 more optometrists now perform dilated fun-doscopy on diabetic patients, use recall notices andhad greater confidence in detecting and managingDR changes in their patients. Additionally, nearly80% of optometrists had ‘moderate’ to ‘strong’ desireto screen for DR. This could significantly reduce thewaiting period of diabetic patients to see an ophthal-mologist in the public setting and may triage theurgency of ophthalmic review by severity, especiallyfor patients with sight-threatening DR. We alsofound an approximate 10% rise in the use of recallnotices over the last decade. This helps to ensureregular eye screening of patients, as a patientreminder system was reported to be an effective wayof enforcing and increasing the patients’ adherenceto clinical guidelines.9
Both the 1997 and 2008 NHMRC guidelines6,7 rec-ommend that screening of diabetic children shouldstart at the time of puberty, with the screening inter-val determined by the clinical findings. Those withmoderate to severe NPDR, PDR or macular oedemawarrant prompt referrals to an ophthalmologist.We found that optometrists generally reviewed dia-betic patients with no signs of DR more frequentlythan recommended.7 The optometrists should beencouraged to read the guidelines more frequentlyin order to review the patients with diabetes in an
appropriate time frame to reduce their unnecessaryfinancial burden.
The responses we obtained regarding the manage-ment of diabetic macular oedema by Australianoptometrists were of concern. More than 50% ofoptometrists reported that they lacked confidence indetecting macular oedema and only 40% wouldrefer patients with macular oedema to anophthalmologist.
Although both the use of a retinal camera andreading the guidelines were significantly associatedwith increased confidence in detecting macularoedema, they were not associated with appropriatereferral of patients with macular oedema to anophthalmologist. Confidence in detecting macularoedema was also not associated with referrals to anophthalmologist.
In other words, the optometrists were not likelyto refer patients with macular oedema to an oph-thalmologist despite having read the guidelines,being confident in detecting macular oedema andusing a retinal camera. Given macular oedema is amajor cause of significant visual impairment,optometrists need to improve their management(confidence to detect and referrals) of this conditionto ensure prompt laser treatment for patients withdiabetic maculopathy. Although early stages ofmacular oedema may be difficult to detect with-out indirect ophthalmoscopy, any reduction invisual acuity should raise suspicion and prompt areferral.
Concern about use of dilating drops inducingangle closure glaucoma seems unwarranted as it is arare event (1 in 20 000).10 Promoting the use of non-mydriatic fundus cameras may help. We found therewas a strong association between the frequency ofretinal camera use and the desire to screen, as well asconfidence in detecting DR changes. Others havefound non-mydriatic retinal camera fundus photog-raphy yielded a reasonable sensitivity (95%) andspecificity (99%).11
The present study provides an overview of DRmanagement by Australian optometrists, which hasimproved over the last decade following the releaseof 1997 NHMRC guideline.7 Given that macularoedema causes significant visual impairment inpatients with diabetes, further education about thedetection and referral of subjects with macularoedema is important. The use of retinal camerasand promotion of the new 2008 NHMRC guide-lines7 should be encouraged to improve the overalloptometric DR management and reduce the inci-dence of this preventable blinding disease in thefuture. A further survey may help assess the impactof the new 2008 NHMRC guidelines, especially themanagement of diabetic macular oedema by Aus-tralian optometrists.
1. Wild S, Roglic G, Green A, Sicree R, King H. Globalprevalence of diabetes: estimates for the year 2000and projections for 2030. Diabetes Care 2004; 27: 1047–53.
2. Tapp RJ, Shaw JE, Harper CA et al. The prevalence ofand factors associated with diabetic retinopathy in theAustralian population. Diabetes Care 2003; 26: 1731–7.
3. Ferris FL 3rd. How effective are treatments for diabeticretinopathy? JAMA 1993; 269: 1290–1.
4. National Health and Medical Research Council. Guide-lines for the Management of Diabetic Retinopathy[Internet]. 2008. Available from: http://www.nhmrc.gov.au/publications/synopses/di15syn.htm
5. McCarty CA, McKay R, Keeffe JE. Management ofdiabetic retinopathy by Australian optometrists.Working Group on Evaluation of NHMRC RetinopathyGuideline Distribution. National Health and MedicalResearch Council. Aust N Z J Ophthalmol 1999; 27:404–9.
6. McCarty CA, Taylor KI, McKay R, Keeffe JE. Diabeticretinopathy: effects of national guidelines on the
referral, examination and treatment practices of oph-thalmologists and optometrists. Clin Experiment Ophthal-mol 2001; 29: 52–8.
7. National Health and Medical Research Council. Clini-cal practice guideline: management diabetic retino-pathy [Internet]. 1997. Available from: http://www.nhmrc.gov.au/publications/synopses/cp53covr.htm
8. Australian Institute of Health and Welfare. [Internet].2006. Available from: http://www.aihw.gov.au/publications/phe/phe-116-10722/phe-116-10722.pdf
9. Grimshaw JM, Russell IT. Achieving health gainthrough clinical guidelines II: ensuring guidelineschange medical practice. Qual Health Care 1994; 3:45–52.
10. Talks SJ, Tsaloumas M, Mission GP, Gibson JM.Angle closure glaucoma and diagnostic mydriasis.Lancet 1993; 342: 1493–4.
11. Baeza M, Orozco-Beltran D, Gil-Guillen VF et al.Screening for sight threatening diabetic retinopathyusing non-mydriatic retinal camera in a primary caresetting: to dilate or not to dilate? Int J Clin Pract 2009;63: 433–8.
AUSTRALIAN FAMILY PHYSICIAN VOL. 40, NO. 4, APRIL 2011 233
Daniel TingJonathon NgNigel MorletJoshua YuenAntony ClarkHugh TaylorJill KeefeDavid Preen
Diabetic retinopathyScreening and management by Australian GPs
AimTo describe current diabetic retinopathy (DR) screening and management practices among Australian general practitioners.
MethodA self administered questionnaire on DR management was mailed to 2000 rural and urban GPs across Australia in 2007–2008.
ResultsOnly 29% of the GP respondents had read the National Health and Research Council guidelines at least once and 41% had a ‘moderate’ to ‘strong’ desire to screen for DR. A majority of GPs (74%) reported not routinely examining their diabetic patients for DR. Lack of confidence in detecting DR changes (86.4%) and time constraints (73.4%) were the two major barriers to GPs performing dilated fundoscopy on diabetic patients.
DiscussionGiven that access to optometry is not evenly distributed across the country, and that ophthalmology is under-resourced, GPs are the healthcare providers most able to manage and screen for DR in the community.
Keywords: diabetes mellitus; diabetic retinopathy; mass screening; secondary prevention; general practice
Diabetes mellitus is rising in prevalence within Australia and internationally, with estimates indicating that the global prevalence of diabetes will double by 2030.1 In Australia, the prevalence of diabetes is 8% in adult men and 6.5% in adult women;2 of these, one in four will be diagnosed with diabetic retinopathy (DR).3 Early detection and prompt treatment can prevent 98% of visual impairment.4
Primary healthcare providers such as general practitioners and optometrists are at the ‘front line’ of service provision and play a crucial role in screening for DR in the community. However, a 1994 survey of Victorian GPs found over half had little interest in DR screening and that most routinely examined less than half of their patients with diabetes for DR.5 The National Health and Medical Research Council (NHMRC) released clinical practice guidelines for DR in 1997,6 outlining evidence based DR management practices and encouraging physicians to increase the DR screening rate in order to reduce DR related visual impairment. Nonetheless, a subsequent Victorian survey reported that despite the NHMRC guidelines, 48% of GPs still had little or no desire to screen for DR.7
This study is the first national survey of Australian GPs on DR management. The purpose is to investigate current Australian GPs’ management practices and attitudes towards DR and its management since the release of the 1997 NHMRC guidelines. Given the survey was started in late 2007, it can also serve as a baseline before the release of the most recent NHMRC guidelines in 2008.8
MethodA random sample of 2000 currently practising Australian GPs selected from The Royal Australian College of General Practitioners’ (RACGP) membership database were surveyed. A package consisting of a self administered two page questionnaire, an information leaflet detailing the aim of the study and a reply paid return envelope was posted to selected GPs in December 2007. A repeat mailout of surveys to nonresponders was conducted after 3 months to maximise response.
This study was approved by the University of Western Australia’s Human Research Ethics Committee.
The survey questions related to:
(eg. location of previous training, duration at and location of practices, rural or metropolitan practice)
pressure, cholesterol, smoking status
factors, patient refusal, fear of angle closure glaucoma, lack of confidence in detecting and managing DR and lack of dilating drops and ophthalmoscopes in practices)
optometrists and ophthalmologists for DR screening
visual acuity, dilated or nondilated fundoscopy)
The participants were also asked to respond to five case scenarios regarding the management of DR clinical signs: microaneurysms, retinal haemorrhages, cottonwool spots, new vessel formation and presence of hard exudates near
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to an ophthalmologist or optometrist if visual symptoms were present. Nearly 80% of GPs felt their patients would see an ophthalmologist should it be necessary.
Table 4 shows responses to the management of specific DR signs and hypothetical case scenarios. Most GPs (63%) would refer their patients with occasional microaneurysms with normal vision within 1 month to see an ophthalmologist while only 3% were confident to not refer these patients to the ophthalmologist. For patients with hard exudates near the macula and normal vision, 87% of GPs indicated that they would refer to an ophthalmologist within 1 month. Following the detection of peripheral microaneurysms and retinal haemorrhages, 95% of GPs would refer their patients to see an ophthalmologist within the recommended
DR changes (86%) and time constraints (73%) were the primary barriers to performing dilated fundoscopy on diabetic patients for GPs. Additional reported barriers included patient refusal, concern of angle closure glaucoma, lack of dilating drops and uncertainty surrounding DR management (Table 3).
Less than half of GPs (41%) expressed ‘moderate’ to ‘strong’ desire to screen for DR in the community setting. Nearly all GPs (91%) referred diabetic patients to ophthalmologists every 1–2 years, while 68% referred their diabetic patients to optometrists in the first instance. One-fifth of GPs never referred any diabetic patients to see an optometrist, these GPs all preferred to refer their patients to see an ophthalmologist every 1–2 years. A small number of GPs (8%) would only refer their patients
the macula. A further seven hypothetical case scenarios involving patients that varied in age (7, 18 and 60 years of age), diabetic management (diet control, oral hypoglycaemic agents and insulin) and glycaemic control (poorly and well controlled) who had no signs of DR detected at baseline examination were also included.
Analyses were performed using SPSS version 17 (SPSS, Chicago, IL, USA). Descriptive statistics (mean, standard deviation) were calculated for continuous variables. Relationships between categorical variables were explored using chi-square tests. Additionally, a multivariate logistic regression model was used to study the possible factors relating to GPs’ confidence in detecting DR clinical signs, such as their years in practice, previous training location and whether or not they had read the NHMRC guidelines.
ResultsThere were 429 (21%) respondents to the survey (Table 1). Almost half reported having received the 1997 NHMRC guidelines for DR management, however, of these only 29% had read the guidelines at least once. Apart from the NHMRC guidelines, GPs also reported using other resources such as RACGP guidelines,9 Therapeutic guidelines: endocrinology,10 National Prescribing Service Guidelines,11 American Diabetic Association Guidelines,12 various online websites, and diabetes focused peer reviewed journals.
Almost all GPs reviewed their diabetic patients’ blood pressure (98.6%) and HbA1c (92.1%) at least every 6 months (Table 2). Assessment of lipid profile, smoking status and advice on diabetes complications were conducted less frequently by the respondent GPs (Table 2). Nearly 75% of GPs did not routinely examine their diabetic patients for DR; of those, 89% would refer their diabetic patients to see an ophthalmologist within 2 years of initial diabetes diagnosis. More GPs ‘usually’ and ‘always’ performed nondilated (61%) than dilated fundoscopy (13%) to detect DR signs and only 65% of GPs ‘usually’ or ‘always’ checked visual acuity.
Only 21% of GPs responded that they were ‘often’ or ‘almost always’ confident in detecting DR changes. Lack of confidence in detecting
Table 1. Demographics of GP respondents
Demographic information Total (%) Australian GPs (%)20
State or territory of practice
New South Wales 101 (24%) 33.4
Victoria 122 (29%) 25.0
Queensland 74 (18%) 19.1
Western Australia 68 (16%) 9.2
South Australia 40 (9%) 8.5
Tasmania 11 (3%) 2.7
Australian Capital Territory 5 (1%) 1.5
Northern Territory 1 (<1%) 0.7
Years of practice
0–10 47 (11%) No comparison available11–20 61 (14%)
21–30 136 (32%)
>30 185 (43%)
Locality of practice
Metropolitan 279 (66%) 73.8
Rural 143 (34%) 26.2
Location of training
Australia 343 (81%) 68.4
United Kingdom 39 (9%) –
India 12 (3%) –
New Zealand 6 (1%) –
Other 26 (6%) Overseas 31.6
Note: Not all respondents answered all questions, so not all numbers total to the 429 respondents
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DiscussionIn response to the World Health Assembly resolution on the elimination of avoidable blindness, the National Eye Health Framework was developed following the Australian Health Ministers’ Conference in 2005.13 It identified five potential key areas which may help prevent avoidable blindness and low vision. Two of these related to increasing early detection and improving access to eye healthcare services.13 At the time of the release of the NHMRC guidelines on DR management in 1997,6 the Victorian GP DR survey showed that half of GPs expressed a desire to regularly screen for DR in patients attending their practice.7 Unfortunately, the authors found that since the last survey, even fewer GPs (41%) expressed a desire to screen
General practitioners’ confidence in detecting DR changes was strongly associated with:
(χ2=7.48, p<0.01)
years (χ2=7.71, p<0.01)χ2=3.88,
p<0.05). When controlled for years of practice and previous training location, GPs who had read the guidelines at least once were 2.11 times more likely to report confidence in screening for DR (OR=2.11, SE=0.54, 95% CI: 1.27–3.50, p<0.005). The location of the GP practice (rural or metropolitan) was not associated with reported confidence in detecting DR changes, desire of DR screening or the frequency of referral to ophthalmologists or optometrists.
timeframe. For new vessel formation, nearly all GPs would refer within 1 month to an ophthalmologist.
A majority of GPs (82%) would (inappropriately) refer a child, 7 years of age, with diabetes and no signs of DR for regular eye screening while 18% would refer such patients in 5 years. As shown in Table 3, the majority of the GPs would refer patients of various ages (7, 18 and 60 years); diabetic management (diet control, oral hypoglycaemic and insulin); and glycaemic control (well and poorly controlled) elsewhere for regular eye screening even without any signs of DR rather than perform the review themselves.
General practitioners’ desire to screen for DR in the community was strongly associated with having read the 1997 NHMRC guidelines at least once (χ2=17.64, p<0.001) and with reporting confidence in detecting DR clinical changes (χ2=28.5, p<0.001). In multivariate logistic regression analyses, GPs who reported confidence in detecting DR clinical signs were 3.31 times more likely to have a desire to screen for DR – after controlling for reading the guidelines at least once, years of practice and previous training location (OR=3.31, SE=0.85, 95% CI: 2.00–5.47, p<0.001). However, the frequency of GPs performing visual acuity measurement and dilated fundoscopy as part of the routine eye examination for patients with diabetes was not associated with reading the NHMRC guidelines.
Table 2. Current GP management and attitudes to diabetes and diabetic retinopathy
At diabetes follow up Never and rarely (%) Sometimes (%) Usually and always (%)
Note: Not all respondents answered all questions, so not all numbers total to the 429 respondents
Table 3. Barriers to GPs performing dilated fundoscopy
Barrier No barrier or minor barrier (%)
Moderate or major barrier (%)
No confidence in detecting diabetic retinopathy signs
55 (13.6%) 349 (86.4%)
Time consuming 109 (26.7%) 300 (73.3%)
Patients’ refusal to dilation 145 (36.5%) 252 (63.5%)
Worry of inducing angle closure glaucoma 223 (55.8%) 177 (44.2%)
Lack of dilating drops 251 (62.4%) 151 (37.6%)
Unsure of diabetic retinopathy management 328 (82.2%) 71 (17.8%)
Lack of ophthalmoscopes 396 (97.8%) 9 (2.2%)
Note: Not all respondents answered all questions, so not all numbers total to the 429 respondents
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Diabetic retinopathy – screening and management by Australian GPs
GPs.18 Nearly 60% of optometrists would not refer patients with diabetic maculopathy to see an ophthalmologist and 10% would not refer patients with severe nonproliferative DR. Comparing these two surveys suggests that GPs may be the most proficient healthcare providers to manage and screen for DR in the community.
From the 2009 study on optometrists,18 the retinal cameras were shown to have increased optometrists’ confidence to detect DR changes such as microaneurysms, retinal haemorrhages, new vessel formation and macular oedema. It is unknown whether GPs would feel more confident with retinal photographic screening, however, a pilot study of photographic screening by GPs for DR found that they would be willing to expand their roles into DR screening if such infrastructure were readily accessible.19 The study19 also showed that GPs had good diagnostic accuracy (sensitivity 87%; specificity 95%) for DR. Given that this was a pilot study with a relatively small sample size, a larger study using cheaper, portable retinal cameras
increase the DR screening rate in the Australian community.
In this study, a great proportion of GPs (92%) reported that they review their patients’ HbA1c every 6 months or less. Nonetheless, numerous previous data based on Medicare data analysis showed that only 25–80% of GPs measured their patients’ HbA1c level at a 6 monthly interval.15 This highlighted a gap between what GPs think they should do as opposed to what is done in reality on a routine basis. (However, those who completed the survey may have been more motivated to measure HbA1c than others.) Given that good HbA1c control significantly reduces the risk of microvascular and macrovascular complications,16–17 it is important to translate theoretical knowledge on diabetes management into routine clinical practices by checking their patients’ HbA1c every 6 months as per NHMRC guidelines.8
In a similar survey of optometrists, the authors found that the optometric DR management was generally inferior to that of
for DR. This is of concern given that primary healthcare screening provides an excellent opportunity to differentiate those patients who require specialist ophthalmic care from those who can continue to be managed by their GP.
We also found that similar to the previous Victorian study,7 GPs’ perceived the lack of confidence in detecting clinical DR signs was the leading barrier to performing dilated fundoscopy. A fear of inducing angle closure glaucoma (a rare 1:20 000 event postdilation)14 was perceived as another major barrier to performing dilated fundoscopy. Despite the low numbers of GPs who reported confidence in detecting DR clinical signs (21%), based on the hypothetical clinical scenarios in the survey most GPs were generally confident and proficient to manage DR once DR changes were detected. Given that the GPs who reported confidence in detecting DR clinical signs were three times more likely to have strong desire to screen for DR, more education needs to be directed toward detection of DR clinical signs to
Table 4. GP management of hypothetical clinical scenarios and specific signs of diabetic retinopathy
Clinical scenario Appropriate referral (%)
Inappropriate referral (%)
Recommended referral time frame (2008)*
Recommended referral time frame (1997)**
Occasional microaneurysms with normal vision 101 (24.7%) 308 (75.3%) 1 year Nonurgent, routine referral
Hard exudates near macula with normal vision 348 (86.6%) 54 (13.4%) 1 month or less Refer urgently
Peripheral microaneurysms and retinal haemorrhages 384 (94.8%) 21 (5.2%) 6 months or less Refer urgently
Extensive microaneurysms, retinal haemorrhages and cottonwool spots (all peripherally)
407 (99.5%) 2 (0.5%) 3 months or less Refer urgently
New vessel formation 407 (99.8%) 1 (0.2%) 1 month or less Refer urgently
If no signs of DR at baseline examination:
7 year old – newly diagnosed diabetic 338 (80.3%) 83 (19.7%) At puberty Refer in 5 years
18 year old – newly diagnosed diabetic† 351 (84.0%) 67 (16.0%) 1 to 2 years Yearly, no later than 2 yearly
60 year old with good HbA1c control – diet# 284 (67.1%) 139 (32.9%) 2 years Yearly, no later than 2 yearly
60 year old, 10 years diabetes, commenced on OHA† 361 (84.9%) 64 (15.1%) 1 to 2 years Yearly, no later than 2 yearly
60 year old, 10 years diabetes with good HbA1c on OHA#
289 (68.5%) 133 (31.5%) 2 years Yearly, no later than 2 yearly
60 year old, 10 years diabetes with good HbA1c on insulin#
269 (63.4%) 155 (36.6%) 2 years Yearly, no later than 2 yearly
60 year old, poorly controlled HbA1c despite insulin 306 (72.0%) 119 (28.0%) 1 year Yearly, no later than 2 yearly
* Referral time frame recommended by 2008 NHMRC guidelines8 ** Referral time frame recommended by 1997 NHMRC guidelines6
† Should HbA1c is unavailable, all diabetic patients should be referred within 1–2 years# Patients with good HbA1c control and no signs of DR are recommended to undergo 2 yearly fundus examination for DR OHA = oral hypoglycaemic agents; HbA1c = glycosylated haemoglobinNote: Not all respondents answered all questions, so not all numbers total to the 429 respondents
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7. McCarty CA, Taylor KI, Keeffe JE. Management of diabetic retinopathy by general practitioners in Victoria. Clin Exp Ophthal 2001;29:12–6.
8. National Health and Medical Research Council. Guidelines for the management of diabetic retin-opathy. Canberra: Commonwealth of Australia, 2008. Available at www.nhmrc.gov.au/publications/synopses/di15syn.htm [Accessed 17 September 2010].
9. Royal Australian College of General Practitioners. Management of diabetes mellitus 2010/2011. 16th edn. Canberra: Diabetes Australia, 2010. Available at www.racgp.org.au/guidelines/diabetes [Accessed 17 September 2010].
10. Endocrinology Expert Group. Therapeutic guide-lines: endocrinology. Diabetes: diagnosis and principles of management. 3rd edn. Therapeutic Guidelines Limited: North Melbourne, 2004.
11. National Prescribing Service Limited. Diabetes drugs. Available at www.nps.org.au/health_pro-fessionals/drug_and_therapeutic_topics/diabetes_drugs. [Accessed 3 December 2010].
12. American Diabetes Association. Management of diabetes mellitus. Available at http://care.diabetes-journals.org/content/33/Supplement_1 [Accessed 20 September 2010].
13. Commonwealth of Australia. Eye health in Australia – a background paper to the national framework for action to promote eye health and prevent avoidable blindness and vision loss. Canberra: Commonwealth of Australia, 2005.
14. Talks SJ, Tsaloumas M, Mission GP, et al. Angle closure glaucoma and diagnostic mydriasis. Lancet 1993;342:1493–4.
15. National Health and Medical Research Council. Evidence-Practice Gaps Report Volume 1: a review of developments 2004–2007. Available at www.nhmrc.gov.au/_files_nhmrc/file/nics/material_resources/epgr_review_chapter_6.pdf. [Accessed 20 September 2010].
16. Selvin E, Marinopoulos S, Berkenblit G, et al. Meta-analysis: glycosylated hemoglobin and car-diovascular disease in diabetes mellitus. Ann Intern Med 2004;141:421–31.
17. Stettler C, Allemann S, Juni P, et al. Glycemic control and macrovascular disease in types 1 and 2 diabetes mellitus: meta-analysis of randomized trials. Am Heart J 2006;152:27–38.
18. Ting DSW, Yuen J, Clark A, et al. Australian Optometrists National Survey of Diabetic Retinopathy Management. Poster session pre-sented at Annual General Meeting and Scientific Congress, 14–18 November 2009, Brisbane, Australia.
19. Askew D, Schluter PJ, Spurling G, et al. Diabetic retinopathy screening in general practice: a pilot study. Aust Fam Physician 2009;38:650–6.
20. Britt H, Miller GC, Charles J, et al. General practice activity in Australia 2008–09. Canberra: Australian Institute of Health and Welfare, 2009. Available at www.aihw.gov.au/publications/gep/gep-25-11013/gep-25-11013-c03.pdf [Accessed 20 September 2010].
AuthorsDaniel Ting MBBS, is Master of Medical Science candidate, Eye and Vision Epidemiology Research Group, Centre for Health Services Research, University of Western Australia, and Centre of Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Lions Eye Institute, Perth, Western Australia. [email protected] Ng MBBS, PhD, is ophthalmology trainee, Eye and Vision Epidemiology Research Group, Centre for Health Services Research, University of Western AustraliaNigel Morlet FRANZCO, is consultant ophthalmolo-gist, Eye and Vision Epidemiology Research Group, Centre for Health Services Research, University of Western AustraliaJoshua Yuen MBBS, MPH, is ophthalmology trainee, Eye and Vision Epidemiology Research Group, Centre for Health Services Research, University of Western AustraliaAntony Clark MBBS(Hons), is ophthalmology trainee, Eye and Vision Epidemiology Research Group, Centre for Health Services Research, University of Western AustraliaHugh Taylor AC, FRANZCO, is Harold Mitchell Chair of Indigenous Eye Health, School of Indigenous Health, University of Melbourne, VictoriaJill Keefe OAM, PhD, is Head, Centre of Eye Research Australia, School of Population Health, University of Melbourne, VictoriaDavid Preen PhD, is Director, Centre for Health Services Research, University of Western Australia.
Conflict of interest: none declared.
References1. Wild S, Roglic G, Green A, et al. Global prevalence
of diabetes: estimates for the year 2000 and projec-tions for 2030. Diabetes Care 2004;27:1047–53.
2. Dunstan DW, Zimmet PZ, Welborn TA, et al. The rising prevalence of diabetes and impaired glucose tolerance: the Australian Diabetes, Obesity and Lifestyle Study. Diabetes Care 2002;25:829–34.
3. Tapp RJ, Shaw JE, Harper CA, et al. The prevalence of and factors associated with diabetic retinopa-thy in the Australian population. Diabetes Care 2003;26:1731–7.
4. Ferris FL, 3rd. How effective are treatments for dia-betic retinopathy? JAMA 1993;269:1290–1.
5. Dickson PR, McCarty CA, Keeffe JE, et al. Diabetic retinopathy: examination practices and referral patterns of general practitioners. Med J Aust 1996;164:341–4.
6. National Health and Medical Research Council. Clinical practice guidelines: management of diabetic retinopathy. Canberra: Commonwealth of Australia, 1997. Available at www.nhmrc.gov.au/publications/synopses/cp53covr.htm [Accessed 17 September 2010].
would provide more insight into the enthusiasm for, and effectiveness of, retinal photographic screening in primary care.
The updated 2008 NHMRC guidelines suggest that mydriatic retinal photography is the most effective DR screening tool with a sensitivity of at least 80%.8 Cheaper retinal cameras are now available and should be encouraged in primary healthcare, especially for large practices. Retinal photographs taken by staff could be instantly interpreted by the GP to determine the need for referrals to ophthalmologists during general diabetes consultations.
The strength of this study is that it is the first nationwide GP DR survey. The study findings not only revealed the current management practices of Australian GPs on DR management but can be utilised as baseline findings for a future study to assess the impact of the 2008 NHMRC guidelines.8 Additionally, the GPs’ demographics from this study, such as the distribution of respondent GPs and locality of practices, were comparable to the national demographics for GPs (age and gender were not enquired about in this survey).20 On the other hand, the study findings were limited by several factors. Of the GPs practising in Australia (n=12 938), this study had a relatively small sample size (3.3%, n=429) which may affect the generalisability of results.20 In addition, the study did not gather data regarding current use of retinal cameras among GPs, their previous education on eye training and the size of their practice, which could affect GPs’ confidence in screening for DR.
ConclusionIn conclusion, Australian GPs in general reported sound management of sight threatening DR. Given that the access to optometry is not evenly distributed across Australia and that ophthalmology is under-resourced, GPs may be the most proficient healthcare providers to manage and screen for DR in the community. In the absence of retinal photography, dilated ophthalmoscopy is still the most convenient and effective method to examine for DR and therefore, it is a basic clinical examination skill that should be encouraged for all GPs.
Original Article
Light and portable novel device for diabeticretinopathy screeningDaniel SW Ting MBBS(Hons),1,2,3 Mei Ling Tay-Kearney FRANZCO1,3 and Yogesan Kanagasingam PhD2
1Center for Ophthalmology and Visual Sciences, Lions Eye Institute, University of Western Australia, Nedlands,2The Australian E-HealthResearch Centre, Commonwealth Scientific Industrial Research Organization (CSIRO), Floreat, and 3Ophthalmology Department, RoyalPerth Hospital Wellington Street Campus, Perth, Western Australia, Australia
ABSTRACT
Background: To validate the use of an economicalportable multipurpose ophthalmic imaging device,EyeScan (Ophthalmic Imaging System, Sacramento,CA, USA), for diabetic retinopathy screening.
Design: Evaluation of a diagnostic device.
Participants: One hundred thirty-six (272 eyes) wererecruited from diabetic retinopathy screening clinicof Royal Perth Hospital, Western Australia, Australia.
Methods: All patients underwent three-field (opticdisc, macular and temporal view) mydriatic retinaldigital still photography captured by EyeScan andFF450 plus (Carl Zeiss Meditec, North America) andwere subsequently examined by a senior consultantophthalmologist using the slit-lamp biomicroscopy(reference standard). All retinal images were inter-preted by a consultant ophthalmologist and amedical officer.
Main Outcome Measures: The sensitivity, specificityand kappa statistics of EyeScan and FF450 plus withreference to the slit-lamp examination findings by asenior consultant ophthalmologist.
Results: For detection of any grade of diabetic retin-opathy, EyeScan had a sensitivity and specificity of93 and 98%, respectively (ophthalmologist), and 92and 95%, respectively (medical officer). In contrast,
FF450 plus images had a sensitivity and specificity of95 and 99%, respectively (ophthalmologist), and 92and 96%, respectively (medical officer). The overallkappa statistics for diabetic retinopathy grading forEyeScan and FF450 plus were 0.93 and 0.95 forophthalmologist and 0.88 and 0.90 for medicalofficer, respectively.
Conclusions: Given that the EyeScan requiresminimal training to use and has excellent diagnosticaccuracy in screening for diabetic retinopathy, itcould be potentially utilized by the primary eye careproviders to widely screen for diabetic retinopathy inthe community.
The worldwide prevalence of diabetes is estimatedto double to 366 million (4.8%) by 2030.1 Peoplewith diabetes should receive regular eye screen-ing, as early detection could prevent diabeticretinopathy-related visual impairment.2–4 Retinalstill photography remains the mainstay screeningtool in various diabetic retinopathy screening pro-grams worldwide, and it has been shown to increasethe primary eye care providers’ confidence and desireto detect diabetic retinopathy in the community.5 Todate, mydriatic retinal photography has been shown
� Correspondence: Correspondence: Dr Daniel SW Ting, Block 10C #10-10, Braddell View, Singapore, 579719. Email: [email protected]
Received 2 June 2011; accepted 12 September 2011.
Competing/conflict of interest: Professor Yogesan Kanagasingam invented the EyeScan (Ophthalmic Imaging System, CA, USA) but he is
not/has not received any direct/indirect funding from the manufacturer.
Funding sources: Diabetes Australia Research Trust and Royal Perth Hospital have provided research funding to this project. The sponsor or
funding organization had no role in the design or conduct of this research.
Clinical and Experimental Ophthalmology 2012; 40: e40–e46 doi: 10.1111/j.1442-9071.2011.02732.x
to be the most effective means to detect diabeticretinopathy in a screening setting.6,7
The rising prevalence of diabetes will requireimplementation of more community screening pro-grams. This will lead to a rise in health-care costs8
and maintenance of an effective quality assurancesystem.9 The cost of a retinal camera is and willcontinue to be an important factor in the health-care cost equation. Numerous retinal cameras(mydriatic and non-mydriatic) with various func-tions, including anterior and posterior segmentimaging and fluorescein angiography, are currentlyavailable on the market. However, many are notinexpensive.
The purpose of our study was to validate the effi-cacy of the EyeScan (Ophthalmic Imaging System,CA, USA) machine to screen for diabetic retinopathyin the community. The EyeScan is a flash camera thatweighs around 0.9 kg. Apart from retinal imaging,this device also captures the anterior segments of theeye, such as the cornea and the lens, and this isespecially important in determining the causes ofsome ‘ungradable’ retinal still images secondary tocataracts or pterygium. It has a maximum imagecapture rate of three images per second and a 5.3-megapixel Sensor. It is able to capture the photoswith near infrared or visible light and has a field ofview of 35 degrees. This machine was approved bythe US Food and Drug Administration in 2010 and iscurrently available in United States, Australia andother European countries. Given that this is anextremely portable device, which can be carriedaround in a suitcase, it will be a suitable imagingdevice in routine, mobile and teleretinal diabetic ret-inopathy screening clinics in both metropolitan andrural areas.
METHODS
Design
This single-centre study aimed to validate andcompare a new diagnostic device, EyeScan, with thecurrently accepted diagnostic device FF450 plus(Carl Zeiss Meditec, Inc., North America), with ref-erence to slit-lamp examination by a consultantophthalmologist.
Study sample
We enrolled 136 consecutive patients (272 eyes) fromthe diabetic retinopathy screening clinic of RoyalPerth Hospital, Western Australia, into our study.All patients signed an informed consent forparticipation. This study was approved by the RoyalPerth Hospital Ethics Committee.
Patients’ characteristics and diabeteshistory
We collected information on patients’ demographics(e.g. age and ethnicity), current and past ocularhistory, diabetes history [e.g., type, duration, gly-cated hemoglobin level, macro- and microvascularcomplications (cerebrovascular accidents, ischaemicheart disease, peripheral vascular disease, nephropa-thy and neuropathy)] and other associated cardiovas-cular risk factors (e.g. smoking status, blood pressureand lipid profile).
Screening process
Upon arrival at the screening clinic, all patientsreceived pupil-dilating drops (2.5% phenylephrineand 0.5% tropicamide) in both eyes. They under-went three sets of retinal examinations in thefollowing order: (i) non-stereo colour retinal stillphotography (FF450 plus); (ii) non-stereo colourretinal still photography (EyeScan) and (iii) slit-lamp biomicroscopy examination with a 78-dioptrelens by a senior consultant ophthalmologist.
Retinal still photography using the EyeScan andFF450 plus was performed by a medical officer and aretinal photographer, respectively. In order to assessthe usability of the EyeScan device, a medical officerwith no previous experience in ocular imaging wasrecruited and compared to the retinal photographerwho has had 10 years experience in performingretinal still photography for diabetic retinopathyscreening. Three retinal fields (optic disc, macula andtemporal views) were captured using both devices,and the images were subsequently de-identified,randomized and interpreted by a consultant ophthal-mologist and a medical officer (who has graded morethan 1000 colour fundus photos of patients with dia-betes) on a 27-in. iMac (Apple, Cupertino, CA, USA)with a display resolution of 2560 ¥ 1440 pixels in adimly lit room.
The retinal digital still images of the EyeScan andFF450 plus were all downloaded in Joint Photo-graphic Experts Group format. The colour resolutionof the still images of EyeScan and FF450 plus were640 ¥ 480 and 2392 ¥ 1944 pixels, respectively. Thefield angles of EyeScan and FF450 plus were 35 and30 degrees, respectively, centring on optic disc,macular and temporal views.
The retinal images were graded on the basis of thepresence or absence of diabetic retinopathy signs(microaneurysms, retinal haemorrhages, hard exu-dates, cotton wool spots, venous beading, intraretinalmicrovascular abnormalities, new vessel formationand preretinal/vitreous haemorrhage) using the Inter-national Clinical Diabetic Retinopathy Severity Scale(Table 1). The retinal photographs were classified as
‘unacceptable’, ‘average’ or ‘excellent’ depending ontheir quality; the retinal photograph was graded as‘unacceptable’ if more than one-third of it was‘blurred’ or ‘uninterpretable’.
Statistical analyses
We calculated the sensitivity and specificity of thetwo imaging devices (EyeScan and FF450 plus) indetecting and grading diabetic retinopathy withreference to slit-lamp examination. In addition,Cohen’s kappa coefficient was utilized as a measureof agreement for diabetic retinopathy signs andgrading using the two types of imaging devices. Thetechnical failure rate was defined as the fractionof the ‘unacceptable’ retinal images captured byboth devices; such images were excluded from thecalculation for sensitivity, specificity and kappacoefficient. All data were analysed using Statisti-cal Package for Social Sciences version 17 (SPSS,Chicago, IL, USA).
RESULTS
Patients’ demographics and clinicalcharacteristics
A total of 136 patients (272 eyes) participated in ourstudy. The mean � standard deviation age of partici-pants was 53.9 � 15.3 years, duration of diabeteswas 13.9 � 9.9 years, and glycated hemoglobin was8.0 � 1.7%. Among the recruited patients, 74%(n = 101) were Whites, 17% (n = 23) were Asians,and 9% (n = 12) were from other ethnic groups.Of these, 96 patients (71%) had type 2 diabetes.Figure 1 shows the colour fundus images capturedby EyeScan and FF450 plus.
The best-corrected visual acuity of 240 eyes (88%)was 6/6 or 6/9, and that of 23 eyes (9%) was between6/12 and 6/36, and that of nine eyes (3%) was 6/60or less. Of the consecutively recruited eyes, nearly35% had diabetic retinopathy ranging from mildnon-proliferative diabetic retinopathy to prolife-rative diabetic retinopathy (Table 2). Nearly 15%(n = 37) of eyes had previously received panretinalphotocoagulation, and cataracts were diagnosed in28 eyes (10.3%) on the basis of slit-lamp biomicros-copy examination using Lens Opacities Classifica-tion III.11 Almost 45% (n = 118) of the patients hadnever undergone any diabetic retinopathy screening.Of the self-reported diabetes-related complications,diabetic neuropathy (23%, n = 62) and nephropa-thy (22%, n = 60) were the leading complications(Table 3).
Main outcome measure
Compared with the slit-lamp biomicroscopy exami-nation, EyeScan, in detecting any grade of diabeticretinopathy, had a sensitivity and specificity of 93%(95% confidence interval [CI]: 84.9–97.1) and 98.2%(95% CI: 94.3–99.5), respectively, when graded bythe ophthalmologist; however, they were 91.7%(95% CI: 83.2–96.3) and 94.7% (95% CI: 89.9–97.4),respectively, for the medical officer (Table 4). In con-trast, FF450 plus images graded by the ophthalmolo-gist had a sensitivity and specificity of 95.1% (95%CI: 87–98.4) and 98.8% (95% CI: 95.4–99.8), res-pectively, whereas for the medical officer, he had a
Table 1. International Clinical Diabetic Retinopathy SeverityScales10
Grades Retinal findings
None No abnormalitiesMild NPDR Microaneurysms onlyModerate NPDR More than just microaneurysms but less
than severe NPDRSevere NPDR Any of the following:
i. Extensive (>20) intraretinal haemor-rhages in each of four quadrants
ii. Definite venous beading in 2+ quadrantsiii. Prominent IRMA in 1+ quadrantAND no signs of PDR
PDR One or more of the following:i. Neovascularizationii. Vitreous/preretinal haemorrhage
sensitivity and specificity of 91.9% (95% CI: 83.4–96.4) and 95.9% (95% CI: 91.5–98.2), respectively.For the detection of sight-threatening diabetic retin-opathy (severe non-proliferative diabetic retinopa-thy and proliferative diabetic retinopathy), thesensitivity and specificity of images from bothdevices (EyeScan and FF450 plus) graded by bothreaders increased to 100%.
The technical failure rate for EyeScan and FF450plus were 8.5 and 7%, respectively, and they werenot statistically significant (c2 = 0.23, d.f. = 1, P =0.63). Of the failed retinal photographs captured bythe EyeScan, 39% (n = 9) were photographs of eyes
with cataracts and 9% (n = 2) with dark fundi; in52% (n = 12) of the photographs, failure was due tointolerance to bright flash. On the other hand, the‘uninterpretable’ Zeiss retinal images were second-ary to cataracts (42.1%, n = 8), dark fundi (10.5%,n = 2) and intolerance to bright flash (47.4%, n = 9).
The overall kappa statistics for diabetic retinopa-thy grading for EyeScan and FF450 plus were 0.93and 0.95 for ophthalmologist and 0.88 and 0.90 formedical officer, respectively (Table 4). The kappacoefficients for all diabetic retinopathy signs, exceptmacular oedema, based on the analysis of EyeScanand FF450 plus images by both readers, with refer-
EyeScan: normal fundus
EyeScan: subhyaloid haemorrhage
FF450 plus: normal fundus
FF450 plus: subhyaloid haemorrhage
Figure 1. Same fundus imagescaptured by EyeScan and FF450plus.
Table 4. The sensitivity, specificity and kappa correlations of overall diabetic retinopathy grading by a consultant ophthalmologist anda medical officer from colour fundus photographs of EyeScan and FF450 with reference to slit-lamp biomicroscopy examination by aconsultant ophthalmologist
ence to the slit-lamp biomicroscopy examination,were more than 0.8 (Table 5). The kappa coefficientsfor the ophthalmologist in detecting diabetic macul-opathy using EyeScan and FF450 plus were 0.70 and0.74, respectively, whereas for the medical officer,they were 0.71 and 0.76, respectively.
DISCUSSION
In our study, we utilized the International ClinicalDiabetic Retinopathy Severity Scale (Table 1)10 as thegrading system as it is much more simplified, withless severity levels and diagnostic criteria, as com-pared with the Early Treatment Diabetic RetinopathyStudy classification system (Table 6).12 In addition,the slit-lamp examination was chosen as the referencestandard, given that it has been shown to be com-pared favourably with the seven-field stereoscopic30 degrees Early Treatment Diabetic RetinopathyStudy.13 In addition, it is easy to perform, less timeconsuming and more tolerable especially when allpatients had to undergo two sets of retinal stillimaging on EyeScan and FF450 plus. Should thequality of the retinal still images were compromiseddue to the presence of cataracts or pterygiums(encroaching the visual axis), the slit-lamp examina-tion by an ophthalmologist would be more accuratethan the retinal still images captured using the seven-field Early Treatment Diabetic Retinopathy Study.
In this study, we have shown that with referenceto the slit-lamp examination, both readers had com-parable sensitivity and specificity in grading diabeticretinopathy from retinal photographs captured usingthe EyeScan machine or FF450 plus (Table 4).Both devices had a sensitivity and specificity of100% in detecting sight-threatening diabetic retino-pathy changes. Additionally, the kappa statistics ofEyeScan and FF450 plus for the detection of all dia-betic retinopathy signs, except for macular oedema,were more than 0.8 (Table 5). Because the imagesobtained from EyeScan showed excellent sensitivity,specificity and kappa coefficients in diagnosing dia-betic retinopathy, it could be used as reliably as cur-rently used cameras for the screening of diabeticretinopathy.
The colour fundus images from both devicesgraded by the ophthalmologist and medical officerhad kappa coefficients of less than 0.8 for detectingdiabetic maculopathy (Table 5). Because retinal pho-tographs provide only two-dimensional views of theretina, colour fundus images do not afford easy iden-tification of any retinal thickening or macularoedema. In this study, we diagnosed diabetic macu-lopathy on the basis of the presence of hard exudates,microaneurysms and retinal haemorrhages close tothe macular area. Presence of these lesions in themacula region should always prompt an urgentreferral.
Table 5. Kappa statistics for retinal photography using EyeScan and FF450 plus in comparison with the gold standard slit-lampbiomicroscopy examination by an ophthalmologist and a medical officer
Retinal findings Kappa statistics
Retinal photography Retinal photographyEyeScan FF450 plus
In order to evaluate the usability of EyeScan, amedical officer with no previous experience in ocularimaging was recruited as the operator of the device.He received a single day’s training on the deviceprior to the screening. The technical failure rate ofthe FF450 plus operated by an experienced retinalphotographer (10 years of experience on retinal stillphotography for diabetic retinopathy screening) andthe EyeScan were similar (8.5% vs. 7%, P > 0.05).These figures show that EyeScan may be used bynon-experienced personnel with minimal training.Further studies will be of great value in evaluatingthe user-friendliness of the EyeScan for both medicaland non-medical personnel in the primary health-care and teleophthalmology setting.
In our study, assessments by both readers hadexcellent sensitivity, specificity and kappa coeffi-cients in detecting and grading diabetic retinopathyusing the colour fundus images captured by bothdevices (Tables 4,5). These results indicate that
non-specialist personnels, such as primary carephysicians and allied health personnels, can betrained to screen for diabetic retinopathy in theprimary health-care setting. The EyeScan will be asuitable device to be utilized in a teleophthalmol-ogy setting as it requires small storage capacity forits lower resolution files, and thus, the availablebandwidth would better handle the transfer andarchives of the images form community to central-ized screening centre. Further research is requiredto evaluate the cost effectiveness of using Eyescanin a community and teleophthalmology settingusing primary eye care providers, such as optom-etrists, general practitioners, orthoptists and diabe-tes nurses, to screen for diabetic retinopathy. Theophthalmologist will not be able to service the pro-jected increase in numbers of patients with dia-betes. Optimizing the use of people resources,embracing new and affordable technology will benecessary to effectively screen these patients andtherefore reduce the impact of diabetic retinopathy-related visual impairment.
The strength of our study was that all recruitedpatients underwent colour fundus photo-imagingby using both devices (EyeScan and FF450 plus),and this allowed a head-to-head comparisonbetween the two devices. In addition, we have uti-lized two different statistical methods (sensitivity/specificity and Cohen’s kappa statistics) and tworeaders (an ophthalmologist and a medical officer)to increase the reliability and validity of our studyfindings. In contrast, our study carries a few limi-tations, one of which was that the slit-lamp exami-nation (reference standard) was performed by asingle senior consultant ophthalmologist. In addi-tion, all patients successively underwent two sets ofretinal still photography within a short period oftime, and this could have contributed to the tech-nical failure that had occurred as a consequence ofpatients’ intolerance to bright light from both thedevices.
REFERENCES
1. Wild S, Roglic G, Green A, Sicree R, King H. Globalprevalence of diabetes: estimates for the year 2000 andprojections for 2030. Diabetes Care 2004; 27: 1047–53.
2. Ferris FL 3rd. How effective are treatments for diabeticretinopathy? JAMA 1993; 269: 1290–1.
3. Photocoagulation for Diabetic Macular Edema: EarlyTreatment Diabetic Retinopathy Study Report Num-ber 1 Early Treatment Diabetic Retinopathy StudyResearch Group. Arch Ophthalmol 1985; 103: 1796–806.
4. Photocoagulation Treatment of Proliferative DiabeticRetinopathy. Clinical Application of Diabetic Retin-opathy Study (DRS) Findings, DRS Report Number 8.The Diabetic Retinopathy Study Research Group. Oph-thalmology 1981; 88: 583–600.
Table 6. Classification of diabetic retinopathy into retinopathystages (Wisconsin level)12
Diabetic retinopathystage
Retinal findings
Minimal NPDR MA and one or more of the following:retinal haem, Hex, CWS, but notmeeting the criteria for moderateNPDR
Moderate NPDR H/Ma > std photo 2A in at least onequadrant and one of more of: CWS,VB, IRMA, but not meeting severeNPDR
Severe NPDR Any of:H/Ma > std photo 2A in all four
quadrants,IRMA > std photo 8A in one or
more quadrants,VB in two or more quadrants
PDR Any of:NVE or NVD < std photo 10A,
vitreous/preretinal haemNVE < 1/2 DA without NVD
High-risk PDR Any of:NVD > 1/4 to 1/3 disc area,or with vitreous/preretinal haem,or NVE > 1/2 DA with vitreous/
preretinal haemAdvanced PDR High-risk PDR with tractional
5. Ting DSW, Ng J, Morlet N et al. Diabetic retinopathymanagement by Australian optometrists. Clin Experi-ment Ophthalmol 2011; 39: 230–5.
6. Arun CS, Al-Bermani A, Stannard K, Taylor R. Long-term impact of retinal screening on significantdiabetes-related visual impairment in the working agepopulation. Diabet Med 2009; 26: 489–92.
7. Hutchinson A, McIntosh A, Peters J et al. Effectivenessof screening and monitoring tests for diabetic retinopa-thy – a systematic review. Diabet Med 2000; 17: 495–506.
8. James M, Turner DA, Broadbent DM, et al. Cost effec-tiveness analysis of screening for sight threatening dia-betic eye disease. BMJ 2000; 320: 1627–31.
9. Garvican L, Scanlon PH. A pilot quality assurancescheme for diabetic retinopathy risk reductionprogrammes. Diabet Med 2004; 21: 1066–74.
10. Wilkinson CP, Ferris FL 3rd, Klein RE et al. Proposedinternational clinical diabetic retinopathy and diabetic
11. Chylack LT Jr, Wolfe JK, Singer DM et al. The LensOpacities Classification System III. Arch Ophthalmol1993; 111: 831–6.
12. Early Treatment Diabetic Retinopathy Study ResearchGroup. Grading diabetic retinopathy from stereoscopiccolor fundus photographs – an extension of the modi-fied Airlie House classification. ETDRS report number10. Early Treatment Diabetic Retinopathy StudyResearch Group. Ophthalmology 1991; 98: 786–806.
13. Scanlon PH, Malhotra R, Greenwood RH et al. Com-parison of two reference standards in validating twofield mydriatic digital photography as a method ofscreening for diabetic retinopathy. Br J Ophthalmol2003; 87: 1258–63.
Table 3 The sensitivity, specificity, and Kappa coefficient of 15-inch MacBook Pro and 9.7-inch iPad in detecting diabetic retinopathygrading by a retinal specialist and a medical officer with reference to 27-inch iMac
Any grade of diabetic retinopathy Sensitivity (95% CI) Specificity (95% CI) Kappa
diabetic retinopathy grading were excellent (greater than
0.8). These results indicated that the specialist (retinal
specialist) and non-specialist (medical officer) screeners
could effectively interpret and diagnose diabetic
retinopathy from the colour retinal still images
using a 15-inch or a 9.7-inch reading screen.
In detection of sight-threatening diabetic retinopathy
(severe NPDR), the medical officer had 100% sensitivity
and 97.7% specificity on both devices (MacBook Pro and
iPad). The discrepancy of the specificity between the
retinal specialist and the medical officer were due to two
false positives, which had been graded by the medical
officer as severe NPDR instead of moderate NPDR.
Nevertheless, a screener especially the non-
ophthalmologist personnel, such as the optometrists and
general practitioners, should always be suspicious and
have lower threshold in referring patients with uncertain
diabetic retinopathy lesions detected on the retinal still
images, even if this will result in some ‘unnecessary’
referrals to the specialists.
The native image resolution of 2588� 1958 pixels
exceeded any of the compared displays spatial
capabilities. This image resolution of 2588� 1958 pixels
was set by the fundus camera (Zeiss FF 450 plus) and all
images were interpreted using a common software—
iPhoto (Apple). The image size exceeded the compared
displays spatial resolution and therefore, all the images
were set to 100% to fit the full screen during the viewing
and interpretation process. However, the full image may
still be navigated on different screens using the iPhoto
display programme with ease.
Table 4 The sensitivity, specificity and Kappa coefficient of15-inch MacBook Pro and 9.7-inch iPad in detecting micro-aneurysms and retinal haemorrhages by a retinal specialist and amedical officer with reference to 27-inch iMac
Medical officer15-inch Macbook Pro 93.9% (78.4–98.9) 98.5% (90.9–99.9)9.7-inch iPad 93.9% (78.4–98.9) 95.5% (86.6–98.8)
Table 5 The Kappa correlation of diabetic retinopathy changesinterpreted by a retinal specialist and a medical officer on15-inch MacBook Pro and 9.7-inch iPad with reference to theretinal findings detected on 27-inch iMac
vessels) and diabetic retinopathy grading by both readers
(Table 3). In a screening setting, it is rather critical
to detect and refer patients with sight-threatening
diabetic retinopathy changes, such as multiple retinal
haemorrhages, cotton wool spots, and neovascularization,
such that pan-retinal photocoagulation could be
applied without delay to prevent severe visual
impairment. Therefore, an occasional missed
microaneurysm often will not result in severe visual
impairment and this is consistent with the findings
of our study given that both readers had 100%
sensitivity in diagnosing sight-threatening diabetic
retinopathy on both devices. Given the Kappa correlation
between iPad and 27-inch iMac, graded by retinal
specialist and medical officer, in detection of
microaneurysms was within the excellent range
(kappa¼ 0.86), it will be feasible for the specialist and
non-specialist readers to utilize a small reading screen
(eg, 9.7-inch iPad) with a spatial resolution of 1024� 768
pixels to effectively screen for diabetic retinopathy in the
community. A further study will be of great value to
explore the efficacy of other cheaper PC, tablet computers
(eg, Galaxy Tab (Samsung, Samsung Town, Seoul,
South Korea)) and cell/smart phones (eg, 3.5-inch iPhone
(Apple) and 4-inch Galaxy S (Samsung)) with smaller
reading screen sizes to screen for diabetic retinopathy
in a routine, mobile, or tele-ophthalmology setting.
The strength of our study was being one of the recent
studies that evaluated the effect of using devices with
varying monitor resolution to screen for diabetic
retinopathy. Moreover, we utilized two statistical
methods (sensitivity/specificity and Kappa coefficient)
and two readers (retinal specialist and medical officer) to
justify the diagnostic accuracy of each monitor size by
the specialist and non-specialist personnel. On the other
hand, one of the weaknesses of our study was that the
colour resolution of the three display monitors was
different. Despite having a similar colour depth for all
screens, the colour gamut, the range, and set of colours
that they can produce, were not the same for all three
monitors. The iMac can display much wider colour
gamut than the other two displays used in this study.
The Macbook Pro and iPad displays have much less
display colour gamut than iMac. The colour gamut
can influence the accuracy of the colours and may
show undersaturated colours and hence, potentially
affecting the interpretation of fundus images.
In addition, our results may be potentially subject to a
selection bias, as we only selected the good quality colour
retinal images into our study. It is unknown if the colour
retinal images with suboptimal quality due to media
opacity or dark fundi will affect the sensitivity and
specificity in detecting diabetic retinopathy changes
using the 15-inch or 9.7-inch reading screens. Thus, it will
be of great significance to recruit all patients with
diabetes consecutively from the screening clinic in the
future study to evaluate the overall efficacy of different
monitor resolutions in detecting diabetic retinopathy
lesions from the colour retinal images with good and
suboptimal quality.
Summary
What was known beforeK Many factors can affect the sensitivity and specificity of
diabetic retinopathy screening, including the numbers offiled, mydriatic status, readers, or photographers withdifferent medical qualifications, use of an economicalretinal camera and other screening techniques.
K None of the study has evaluated the influence of theviewing monitor in screening diabetic retinopathy.
What this study adds
K Our study is one of the few studies that investigatethe influence of different viewing monitors, which canpotentially affect the diagnostic sensitivity and specificity.
K The results show that the grading outcome using a15-inch and 9.7-inch reading device shared a comparablesensitivity and specificity in interpreting retinal colourstill images for diabetic retinopathy screening.
K Given the increasing popularity of tablet computersworldwide, the graders (eg, ophthalmologists orprofessional graders) can safely use them in screeningdiabetic retinopathy without affecting the diagnosticaccuracy.
Conflict of interest
The authors declare no conflict of interest.
Monitor screens for diabetic retinopathy screeningDSW Ting et al
1515
Eye
Acknowledgements
Diabetes Australia Research Trust and Royal Perth
Hospital have provided research funding to this project.
The sponsor or funding organization had no role in
the design or conduct of this research.
Author contributions
Daniel SW Ting contributed to the study conception
and design, data acquisition, data analysis, data
interpretation, and drafting the article. M L Tay-Kearney
contributed to the study conception and design,
revision of the important intellectual content, and final
approval of the version to be published. J Vignarajan
contributed to the data acquisition and data analysis.
Y Kanagasingam contributed to the study conception
and design, revision of the important intellectual content,
and final approval of the version to be published.
References
1 Ferris FL III. How effective are treatments for diabeticretinopathy? JAMA 1993; 269: 1290.
2 Wild S, Roglic G, Green A, Sicree R, King H. Globalprevalence of diabetes: estimates for the year 2000 andprojections for 2030. Diabetes Care 2004; 27: 1047–1053.
3 James M, Turner DA, Broadbent DM, Vora J, Harding SP.Cost effectiveness analysis of screening for sight threateningdiabetic eye disease. BMJ 2000; 320: 1627–1631.
4 Scanlon PH, Malhotra R, Greenwood RH, Aldington SJ,Foy C, Flatman M et al. Comparison of two referencestandards in validating two field mydriatic digitalphotography as a method of screening for diabeticretinopathy. Br J Ophthalmol 2003; 87: 1258–1263.
5 Lin D, Blumenkranz M, Brothers R, Grosvenor DM.The sensitivity and specificity of single-field nonmydriaticmonochromatic digital fundus photography with remoteimage interpretation for diabetic retinopathy screening: acomparison with ophthalmoscopy and standardizedmydriatic colour photography. Am J Ophthalmol 2002; 134:204–213.
6 Hutchinson A, McIntosh A, Peters J, O’Keeffe C, Khunti K,Baker R et al. Effectiveness of screening and monitoring testsfor diabetic retinopathy—a systematic review. Diabet Med2000; 17: 495–506.
7 Bragge P, Gruen RL, Chau M, Forbes A, Taylor HR.Screening for presence or absence of diabetic retinopathy:a meta-analysis. Arch Ophthalmol 2011; 129: 435–444.
8 Ting DSW, Tay-Kearney ML, Yogesan K. A light andportable novel device for diabetic retinopathy screening.Clin Experiment Ophthalmol 2011; 40: e40–e46.
9 Ting DSW, Tay-Kearney ML, Constable IJ, Lim L, Preen DB,Kanagasingam Y. Retinal video recording: a new way toimage and diagnose diabetic retinopathy. Ophthalmology2011; 118: 1588–1593.
10 Wilkinson CP, Ferris III FL, Klein RE, Lee PP, Agardh CD,Davis M et al. Proposed international clinical diabeticretinopathy and diabetic macular edema disease severityscales. Ophthalmology 2003; 110: 1677–1682.
11 Olson JA, Strachan FM, Hipwell JH, Goatman KA,McHardy KC, Forrester JV et al. A comparative evaluationof digital imaging, retinal photography and optometristexamination in screening for diabetic retinopathy. DiabetMed 2003; 20: 528–534.
Monitor screens for diabetic retinopathy screeningDSW Ting et al
1516
Eye
Retinal Video RecordingA New Way to Image and Diagnose Diabetic Retinopathy
Daniel S. W. Ting, MBBS(Hons),1,2,3 Mei Ling Tay-Kearney, FRANZCO,1,3 Ian Constable, FRANZCO,1
Liam Lim, FRANZCO,3 David B. Preen, PhD,4 Yogesan Kanagasingam, PhD2
Purpose: To validate the use of retinal video recording for diabetic retinopathy screening by comparing withstandard retinal photography and slit-lamp examination.
Design: Evaluation of a new diagnostic technique.Participants: One hundred patients.Methods: All fundus images were captured using standard retinal still photography (FF 450 plus; Carl Zeiss)
and retinal video (EyeScan; Ophthalmic Imaging System, Sacramento, CA), followed by a gold standard slit-lampbiomicroscopy examination. All videos and still images were de-identified, randomized, and interpreted by 2senior consultant ophthalmologists (M.L.T-K. and L.L.). Kappa statistics, sensitivity, and specificity for all thediabetic retinopathy signs and grades were calculated with reference to slit-lamp examination results as the goldstandard.
Main Outcome Measures: Sensitivity and specificity of video recording for detecting diabetic retinopathysigns and grades.
Results: The mean age (�standard deviation [SD]) of participants was 52.8�15.1 years, mean duration ofdiabetes (�SD) was 13.7�9.7 years, and the mean glycosylated hemoglobin level was 8.0�1.7%. Comparedwith the gold standard slit-lamp examination results, the sensitivity and specificity of video recording fordetecting the presence of any diabetic retinopathy was 93.8% and 99.2%, respectively (ophthalmologist 1), and93.3% and 95.2%, respectively (ophthalmologist 2). In contrast, the sensitivity and specificity of retinal photog-raphy was 91.8% and 98.4%, respectively (ophthalmologist 1), and 92.1% and 96.8%, respectively (ophthal-mologist 2), for detection of any diabetic retinopathy. Both imaging methods had 100% sensitivity and specificityin detecting sight-threatening diabetic retinopathy. For overall diabetic retinopathy grading by both ophthalmol-ogists, the measurements of agreement (Cohen’s � coefficient) between the overall grading obtained from theretinal video versus slit-lamp examination and retinal photography versus slit-lamp examination were more than0.90. Technical failure rate for retinal video recording and retinal photography were 7.0% and 5.5%, respectively.
Conclusions: This study demonstrated that retinal video recording was equally as effective as retinalphotography in the subjects evaluated in this study. It is a novel alternative diabetic retinopathy screeningtechnique that not only offers primary eye care providers the opportunity to view numerous retinal fields withina short period but also is easy to learn by nonexperienced personnel with minimal training.
Diabetes is one of the world’s fastest growing chronicdiseases and a leading cause of acquired vision loss.1 Ac-cording to the World Health Organization, the total numberof people with diabetes for all age groups will more thandouble from 171 million (2.8%) in 2000 to 366 million(4.8%) by 2030.2 On average, 25% of diabetic patients haveidentifiable signs of diabetic retinopathy,3 and the preva-lence of diabetic retinopathy can increase in up to 75% inpatients who have had diabetes for 20 years or longer.4,5
Nevertheless, early detection and prompt treatment has beenreported to be able to prevent up to 98% of diabetes-relatedvisual impairment.6
In the United States, federal savings of $624 million and
400 000 person-years of sight could be achieved annually if s
veryone with diabetes underwent regular diabetic retinop-thy screening and received treatment according to theeverity of their condition.7–9 A national teleretinal imagingiabetic retinopathy screening program was set up betweenhe Veterans Health Administration, Joslin Vision Network,nd the Department of Defense and the Veterans Integratedervice Network to improve the access to diabetic retinop-thy screening for the United States population.10–12 Simi-arly, the National Health Service in the United Kingdomlso has set up a National Diabetic Retinopathy Screeningrogram with the aim to achieve a 100% screening rate foratients with diabetes.13 In Australia, the use of teleoph-halmology in diabetic retinopathy screening also has been
hown to be cost effective and cheaper than any of the
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Ting et al � Retinal Video Recording for Diabetic Retinopathy Screening
alternative options, with a minimum number of patients peryear of 128.14,15
To date, all teleretinal screening services worldwide useretinal photography (mydriatic or nonmydriatic) as the dia-betic retinopathy screening tool. For detection of diabeticretinopathy, the Early Treatment Diabetic RetinopathyStudy 7 standard field 35-mm stereoscopic color fundusphotographs using the modified Airlie-House classificationcurrently is the gold standard photographic technique.16
However, the use of single-field mydriatic 45° retinal pho-tography with sensitivity of more than 80% has been shownto be adequate and effective (level 1 evidence)17,18 in ascreening setting, and mydriatic 3-field retinal photographycould increase the sensitivity further to 97%.19
A good-quality retinal image is highly dependent on theoperators’ skills in performing retinal photography, patientcompliance with instructions, and their tolerance to thebright light. As a result, retinal photography often is per-formed by trained allied health professionals who may notbe available in a remote community. Moreover, even whenperformed by experienced retinal photographers, the re-ported technical failure rate of mydriatic retinal photogra-phy has been shown to be as high as 12%.20,21
This study examined a new technique using retinal videorecording to screen for diabetic retinopathy. Screening wasperformed by a simple fundus camera (EyeScan; Ophthal-mic Imaging System, Sacramento, CA) with a digital colorvideo recording function. Unlike traditional retinal photog-raphy, retinal video recording is easier and quicker to learn.This technique also provides a view of the retina thatsimulates what is seen with a slit-lamp examination. Eachretinal video consists of the optic disc, macula, and temporalviews of an eye lasting for 30 to 45 seconds. This is slightlyquicker than the 3-field color retinal still photography,which usually takes up to 90 to 120 seconds. However, thevariation of time taken to capture a retinal video or retinalstill photography often is subject to the experience of aphotographer.
Patients and Methods
Design
This was a single-center masked study to determine the validityof a new diagnostic technique, retinal video recording, forassessing the presence and stage of diabetic retinopathy bycomparison with currently accepted diagnostic practice usingretinal still photography.
Study Sample
A total of 100 patients with diabetes (200 eyes) were recruited forthis study from the Ophthalmology Clinic of Royal Perth Hospital,a public teaching hospital in Western Australia. No patient wasexcluded based on age, gender, socioeconomic status, or clinicalcharacteristics. All participants provided a signed informed con-sent for participation, and the study was approved by the Royal
Perth Hospital Ethics Committee. c
atient Demographics and Diabetes Historyata collected included patient demographics (age and ethnic-
ty), best-corrected visual acuity, ocular history (e.g., cataracts,laucoma, laser therapy), self-reported diabetic and cardiovas-ular history (type and duration of diabetes, glycosylated he-oglobin levels, smoking status, blood pressure, lipid profile),
s well as diabetic complications (cerebrovascular accidents,schemic heart disease, peripheral vascular disease, retinopathy,ephropathy, and neuropathy).
etinal Video and Retinal Photography Protocolll patients underwent 3 separate tests for diagnosis of diabetic
etinopathy: (1) retinal color digital video recording, (2) 3-fieldoptic disc, macula, and temporal views) nonstereo color retinaltill photography, followed by (3) slit-lamp biomicroscopy exam-nation (with a 78-diopter lens) by a senior consultant ophthalmol-gist (M.L.T-K. and L.L.) with a special interest in diabetes. Onresentation at the clinic, patients received 2.5% phenylephrinend 0.5% tropicamide in both eyes to maximize pupil dilation. Theetinal video recording and retinal still photography were capturedsing the EyeScan device and the FF450 plus (Carl Zeiss, Inc., Saniego, CA), respectively. The retinal video recording was per-
ormed by a medical officer who received a full day of training insing the device. Retinal photography was performed by an expe-ienced photographer using FF450 plus.
All retinal video recordings commenced at the optic disc androceeded to the macula and temporal regions. To obtain continu-ty of retinal information between the regions, the retinal cameraas tilted at a consistent pace from left to right for the right eye
optic disc, macula, and temporal retina) for at least 5 seconds andice versa for the left eye (Videos 1, 2, and 3; available atttp://aaojournal.org). The video file format is in a standard audioideo interleave format, and the size of an uncompressed rawetinal video is approximately 1 gigabyte. Moreover, all retinalideos can be viewed with any media player that reads audio videonterleave format.
nterpretation of Retinal Photography and Retinalideosll retinal still images and videos were deidentified, randomized,
nd then interpreted by 2 senior consultant ophthalmologists (oph-halmologist 1, a consultant specialist with special interest iniabetes; ophthalmologist 2, a retinal specialist). The quality of theideos and retinal photography images were classified as unac-eptable, average, or excellent. The retinal video recordings wereraded as unacceptable by the ophthalmologists if they werelurred, out of focus, dark, had insufficient views (fewer than 5econds on any view), or a combination thereof. The retinalhotographs were graded as unacceptable if more than one third ofhe photograph was blurred.
Diabetic retinopathy was diagnosed based on the presence ofhe following: microaneurysms, dot or blot hemorrhages, cottonool spots, intraretinal microvascular abnormalities, venous bead-
ng, neovascularization, preretinal or vitreous hemorrhage, hardxudates, or macular edema.
Diabetic retinopathy and diabetic macular edema severity wereraded using the International Clinical Diabetic Retinopathy andacular Edema Disease Severity Scale (Table 1).22 This scale was
stablished by the American Academy of Ophthalmology in thelobal Diabetic Retinopathy Project with the aim to improve the
ommunication between the medical and nonmedical personnel,uch as ophthalmologists, diabetic specialists, primary care physi-
ians, and retinal photographers, by promoting the development of
a common clinical severity scale for diabetic retinopathy.22 All theretinal photographs and retinal videos were viewed using the samemonitor (iMac 27 inches; Apple, Cupertino, CA) and VLC mediaplayer 1.1.4 (Mac; Apple).
Statistical Analyses
The main outcome measures investigated were the sensitivity andspecificity of the 2 methods of imaging (retinal video recordingand retinal photography) in detecting diabetic retinopathy gradingwith reference to the currently accepted gold standard, slit-lampbiomicroscopy examination. Technical failure rate, defined as thefraction of the unacceptable images or videos, was determined forboth photographic methods.
As a measurement of agreement, Cohen’s � coefficient23 wasobtained for diabetic retinopathy signs and grading between retinalvideo recording and retinal photography versus the gold standardslit-lamp biomicroscopy examination were calculated. All datawere analyzed using SPSS software version 17 (SPSS, Inc., Chi-cago, IL).
Results
A total of 100 patients (200 eyes) were enrolled in this study. Asummary of the patients’ demographic characteristics and diabeteshistory is shown in Table 2. The mean�standard deviation age ofparticipants was 52.8�15.1 years, the mean�standard deviationduration of diabetes was 13.7�9.7 years, and mean�standarddeviation glycosylated hemoglobin was 8.0�1.7%. Most of thepatients were white (75.0%; n � 75) and had type II diabetes(70.0%; n � 70).
Patient Clinical Characteristics
Most eyes (88%; n � 176) had best-corrected visual acuity of 6/6
Table 1. International Clinical Diabetic Retinopathy SeverityScales and International Clinical Diabetic Macular Edema
Disease Severity Scales22
Grades Retinal Findings
None No abnormalitiesMild NPDR Microaneurysms onlyModerate NPDR More than just microaneurysms, but
less than severe NPDRSevere NPDR Any of the following: (1) extensive
(�20) intraretinal hemorrhages ineach of 4 quadrants, (2) definitevenous beading in 2� quadrants,(3) prominent IRMA in 1�quadrant; AND no signs of PDR
PDR One or more of the following: (1)neovascularization and (2)vitreous/preretinal hemorrhage
DME apparently absent No apparent retinal thickening orhard exudates in posterior pole
DME apparently present Some apparent retinal thickening orhard exudates in posterior pole
or 6/9, 22 eyes (11%) had best-corrected visual acuity 6/12 to 6/36,H
1590
nd 2 eyes (1%) had best-corrected visual acuity 6/60. Cataractsere diagnosed in 18 eyes (9%) based on slit-lamp biomicroscopy
xamination findings. Of the 200 eyes, 70 eyes (35%) were diag-osed with diabetic retinopathy by clinical slit-lamp biomicros-opy. Of those diagnosed, 36 (18%) had mild nonproliferativeiabetic retinopathy, 23 (11.5%) had moderate nonproliferativeiabetic retinopathy, 2 (1%) had severe nonproliferative diabeticetinopathy, 5 (2.5%) had proliferative diabetic retinopathy, and 42%) had diabetic maculopathy.
Of the diabetes-related complications, more patients had mi-rovascular complications than macrovascular complications. Di-betic neuropathy (23%; n � 23) was the most common compli-ation, followed by diabetic nephropathy (22%; n � 22), ischemiceart disease (16%; n � 16), peripheral vascular disease (10%;� 10), and cerebrovascular disease (6%; n � 6). Of the 100
ecruited patients, 40% had never undergone any previous diabeticetinopathy screening, whereas 10% reported having previouslyeceived retinal laser therapy.
ross-source Agreement of Diagnostic Methods
or ophthalmologist 1, the sensitivity and specificity of the retinalideo imaging technique in detection of any grade of diabeticetinopathy, when compared with the gold standard slit-lamp bio-icroscopy examination, were 93.8% (95% confidence interval
CI], 84.2–98.0) and 99.2% (95% CI, 94.7–99.9), respectively,hereas retinal still photography had a sensitivity and specificityf 91.8% (95% CI, 81.1–96.9) and 98.4% (95% CI, 93.8–99.7),espectively (Table 3). For ophthalmologist 2, the sensitivity andpecificity in detection of any grade of diabetic retinopathy, witheference to gold standard slit-lamp examination, for retinal videoecording were 93.3% (95% CI, 83.0–97.8) and 95.2% (95% CI,1.6–99.0), whereas for retinal still photography, they were 92.1%95% CI, 81.7–97.0) and 96.8% (95% CI, 91.6–99.0), respec-ively. In detection of sight-threatening diabetic retinopathy (se-ere nonproliferative diabetic retinopathy, proliferative diabeticetinopathy), the sensitivity and specificity of retinal video record-ngs and retinal photography compared with the gold standardeasurement for both ophthalmologists were 100%. Moreover,
oth imaging techniques had 100% sensitivity in detecting diabeticaculopathy by the ophthalmologists, but the specificity of
etinal videos and retinal photography for ophthalmologist 1as 98.9% and 97.9%, respectively, whereas those for ophthal-ologists 2 were 98.9% and 99.4%, respectively.
The � coefficients for retinal video recordings and retinalhotography for all diabetic retinopathy grades were more than.90 (Table 3) based on the gold standard slit-lamp examination. In
Table 2. Patient Characteristics and Their Diabetes History
bA1c � glycosylated hemoglobin; SD � standard deviation.
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Ting et al � Retinal Video Recording for Diabetic Retinopathy Screening
detection of diabetic maculopathy, the � coefficient for retinalvideo recording and retinal still photography were 0.79 and 0.66(ophthalmologist 1) and 0.66 and 0.66 (ophthalmologist 2), respec-tively. Additionally, Cohen’s � coefficient for retinal video record-ings and retinal photography for all diabetic retinopathy signs(microaneurysms, retinal hemorrhages, venous beading, intrareti-nal microvascular abnormalities, new vessel formation, preretinalhemorrhage, hard exudates) and optic disc abnormalities all were0.80 or more, except for macular edema (Table 4). Of the captured200 eyes, the technical failure rate (the fraction of still images orretinal videos rated as unacceptable) by both ophthalmologists for
Table 3. Sensitivity, Specificity, and � CorrelatVideo Recording with Reference to
Sensitivity (95ConfidenceInterval)
Ophthalmologist 1Retinal still photography 91.8% (81.1–96Retinal video recording 93.8% (84.2–98
Ophthalmologist 2Retinal still photography 92.1% (81.7–97Retinal video recording 93.3% (83.0–97
Retinal photography was carried out using an FF450 Plout using the EyeScan device (Ophthalmic Imaging Sy
Table 4. � Statistics for Retinal Videos and RetinalPhotography by Both Consultant Ophthalmologists Comparedwith the Gold Standard Slit-Lamp Biomicroscopy Examination
IRMA � intraretinal microvascular abnormalities.Retinal photography was carried out using an FF450 Plus (Carl Zeiss, Inc.),and retinal video recording was carried out using the EyeScan device
d(Ophthalmic Imaging System, Sacramento, CA).
etinal videos and retinal still photography were 7.5% (n � 15) and% (n � 14), respectively.
Of the 15 failed retinal videos, 7 eyes had grade III nuclearclerotic cataract based on the Lens Opacities Classification III,24
eyes were from a darkly pigmented patient, and 6 eyes werentolerant to bright light. In contrast, the 14 failed retinal photo-raphs were the result of cataracts (5 eyes), blurriness of themages secondary to eye movement (4 eyes), and intolerance toright flash (5 eyes).
iscussion
his study demonstrated the possibility of using retinalideo recording as an alternative diabetic retinopathycreening technique, given that the sensitivity and specific-ty of retinal video recording were comparable with those ofolor retinal photography with reference to slit-lamp biomi-roscopy examination in determining the diabetic retinopa-hy grading (Table 3). Moreover, retinal video also pos-essed a comparable � coefficient to retinal photography inetecting diabetic retinopathy signs such as microaneu-ysms, retinal hemorrhages, cotton wool spots, venouseading, and intraretinal microvascular abnormalities whenompared with the slit-lamp examination.
Whereas both imaging devices demonstrated excellentensitivity and specificity in detecting diabetic maculopa-hy, the sample size of patients with macular edema in thistudy (n � 4) was small. Given that the retinal videos andetinal photography only offer 2-dimensional retinal views,t will be impossible to detect any signs of retinal thickeningrom a retinal photograph or video alone. Nevertheless, theresence of hard exudates or microaneurysms close to theovea and an unexplained drop in a patient’s visual acuityhould prompt an urgent referral to an ophthalmologist,iven that diabetic maculopathy could cause significantisual impairment in patients with diabetes.
In this study, the retinal video recording technique waserformed by a nonexperienced medical officer (no previ-us ocular imaging experience), whereas the retinal photog-aphy was performed by an experienced retinal photogra-her (an orthoptist who had more than 10 years of retinaltill photography for diabetic retinopathy experience, but
oefficient for Retinal Photography and RetinalLamp Biomicroscopy Examination
Specificity (95%ConfidenceInterval)
�Correlation
98.4% (93.8–99.7) 0.9399.2% (94.7–99.9) 0.95
96.8% (91.6–99.0) 0.9195.2% (89.4–98.0) 0.90
arl Zeiss, Inc.), and retinal video recording was carriedSacramento, CA).
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Ophthalmology Volume 118, Number 8, August 2011
of technical failure rate between the video recording and theretinal photography was not statistically significant (7.5%vs. 7%; chi-square, 0.04; degrees of freedom, 1; P � 0.85),suggesting that the retinal video recording is a potentiallyeasy-to-operate technique. Thus, nonexperienced personnelsuch as general practitioners, nurses, allied health workers,or any volunteer could be trained to screen for diabeticretinopathy within a short period (1- to 2-day training ses-sions), and this may increase the diabetic retinopathyscreening rates in the community, particularly in developingcountries. Nonetheless, the ease of use for this techniquewas based on the technical failure rate and subjective ex-perience of a sole user in this study, and hence, furtherstudies will need to recruit both experienced and nonexpe-rienced personnel to assess and compare widely the usabil-ity of this technique of image acquisition with standardretinal still photography in the setting of diabetic retinopa-thy screening.
Of the 15 failed retinal videos, 6 eyes were the resultof intolerance to bright light. In this study, the retinalvideo recordings were obtained after retinal photography,which might have resulted in the irritation or exhaustionof patients’ eyes during the retinal video recording pro-cess. Given that the retinal video recording technique hasbeen used only for a short period, the failed videos alsoin part may be the result of the operator’s technique.Hence, the technical failure rate may be diminished fur-ther with improvement of the operator’s technique overtime. Of the failed retinal photographs, they were sec-ondary to eye movement (4 eyes) and intolerance tobright flash (5 eyes). Retinal photography always re-quires patient compliance to fixate the eye during theprocedure to avoid image blurriness, whereas retinalvideo recordings could tolerate slightly more eye move-ment. This is particularly useful for patients who cannotfixate their eyes to the external or internal fixator of theretinal camera.
Compared with retinal photography, retinal video record-ing carries some disadvantages. It does not possess a flashfunction to increase briefly the light intensity. As a result,the light intensity required throughout the entire retinalvideo recordings will be slightly higher, but less than theintensity of the flash, for the period of recording, especiallyin patients with dark fundi. Additionally, the videos savedas audio video interleave format need relatively high storagecapacity, because 1 second in the video takes up approxi-mately 20 megabytes. Depending on patient compliance andtolerance, an average retinal video recording will take atleast 30 seconds, and thus, a large storage capacity isrequired to accommodate the size of the videos. To incor-porate the retinal video recording as a future teleretinalscreening tool, future research will need to be conducted onthe development of web-based teleophthalmology software.The optimal or maximum compression level for retinalvideos is needed without compromising their quality anddiagnostic accuracy in detecting diabetic retinopathychanges to maximize the storage capacity and data trans-mission speed.
This study used a high-end computer with a large reading
monitor (iMac 27-inch screen; Apple) to avoid any diag-
1592
ostic error resulting from a small screen and low screenesolution. Given that the iMac 27-inch computer is a rel-tively sophisticated and expensive device, further studiesill be valuable to evaluate the use of other more econom-
cal devices (with smaller screen sizes and lower screenesolution) to interpret diabetic retinopathy changes fromhe retinal videos, particularly for areas with finite resourcesnd financial constraints.
In conclusion, this study demonstrated that the retinalideo recording was equally as effective as retinal photog-aphy in detecting diabetic retinopathy on the subjects eval-ated in this study. It is a novel alternative diabetic retinop-thy screening technique that is easy to learn with minimalraining by nonexperienced personnel. Although it will note a substitute for the comprehensive ophthalmic examina-ion for diabetic patients, it offers primary eye care provid-rs the opportunity to view a greater field of retinal viewithin a short period. Nonetheless, more research is re-uired to explore its user friendliness, cost effectiveness,nd clinical effectiveness in a community setting of diabeticetinopathy screening.
eferences
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2. Wild S, Roglic G, Green A, et al. Global prevalence ofdiabetes: estimates for the year 2000 and projections for 2030.Diabetes Care 2004;27:1047–53.
3. Tapp RJ, Shaw JE, Harper CA, et al, AusDiab Study Group. Theprevalence of and factors associated with diabetic retinopathy in theAustralian population. Diabetes Care 2003;26:1731–7.
4. Klein R, Klein BE, Moss SE, et al. The Wisconsin Epidemi-ologic Study of Diabetic Retinopathy. III. Prevalence and riskof diabetic retinopathy when age at diagnosis is 30 or moreyears. Arch Ophthalmol 1984;102:527–32.
5. Klein R, Klein BE, Moss SE, et al. The Wisconsin Epidemi-ologic Study of Diabetic Retinopathy. II. Prevalence and riskof diabetic retinopathy when age at diagnosis is less than 30years. Arch Ophthalmol 1984;102:520–6.
6. Ferris FL III. How effective are treatments for diabetic reti-nopathy? JAMA 1993;269:1290–1.
7. Javitt JC, Aiello LP, Chiang Y, et al. Preventive eye care in peoplewith diabetes is cost-saving to the federal government: implicationsfor health-care reform. Diabetes Care 1994;17:909–17.
8. Javitt JC, Aiello LP, Bassi LJ, et al. Detecting and treatingretinopathy in patients with type I diabetes mellitus: savingsassociated with improved implementation of current guide-lines. American Academy of Ophthalmology. Ophthalmology1991;98:1565–73; discussion 1574.
9. Javitt JC, Aiello LP. Cost-effectiveness of detecting andtreating diabetic retinopathy. Ann Intern Med 1996;124:164 –9.
0. Bursell SE, Cavallerano JD, Cavallerano AA, et al, JoslinVision Network Research Team. Stereo nonmydriatic digital-video color retinal imaging compared with Early TreatmentDiabetic Retinopathy Study seven standard field 35-mm stereocolor photos for determining level of diabetic retinopathy.Ophthalmology 2001;108:572–85.
1. Conlin PR, Fisch BM, Orcutt JC, et al. Framework for anational teleretinal imaging program to screen for diabeticretinopathy in Veterans Health Administration patients. J Re-
habil Res Dev 2006;43:741–8.
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12. Cavallerano AA, Cavallerano JD, Katalinic P, et al, Joslin VisionNetwork Research Team. A telemedicine program for diabeticretinopathy in a Veterans Affairs Medical Center—the JoslinVision Network Eye Health Care Model. Am J Ophtthalmol2005;139:597–604.
13. National Screening Programme for Diabetic Retinopathy. Availableat: http://www.retinalscreening.nhs.uk/userFiles/File/EyeScreeningForDiabetes.pdf. Accessed March 16, 2011.
15. Kumar S, Tay-Kearney ML, Chaves F, et al. Remote ophthal-mology services: cost comparison of telemedicine and alternativeservice delivery options. J Telemed Telecare 2006;12:19–22.
16. Early Treatment Diabetic Retinopathy Study ResearchGroup. Grading diabetic retinopathy from stereoscopiccolor fundus photographs—an extension of the modifiedAirlie House classification. ETDRS report number 10. Oph-thalmology 1991;98:786 – 806.
17. Williams GA, Scott IU, Haller JA, et al, Ophthalmic Tech-nology Assessment Committee Retina Panel. Single-field fun-dus photography for diabetic retinopathy screening: a reportby the American Academy of Ophthalmology. Ophthalmol-
ogy 2004;111:1055–62.
Footnotes and Financial Disclosures
University of Western Australia, Crawley, Australia.
PM
FTY
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CDVA
8. Hutchinson A, McIntosh A, Peters J, et al. Effectiveness ofscreening and monitoring tests for diabetic retinopathy—asystematic review. Diabet Med 2000;17:495–506.
9. Aptel F, Denis P, Rouberol F, Thivolet C. Screening of dia-betic retinopathy: effect of field number and mydriasis onsensitivity and specificity of digital fundus photography. Di-abetes Metab 2008;34:290–3.
0. Harding SP, Broadbent DM, Neoh C, et al. Sensitivity andspecificity of photography and direct ophthalmoscopy inscreening for sight threatening eye disease: the LiverpoolDiabetic Eye Study. BMJ 1995;311:1131–5.
1. Olson JA, Strachan FM, Hipwell JH, et al. A comparativeevaluation of digital imaging, retinal photography and optom-etrist examination in screening for diabetic retinopathy. DiabetMed 2003;20:528–34.
2. Wilkinson CP, Ferris FL III, Klein RE, et al, Global Dia-betic Retinopathy Project Group. Proposed internationalclinical diabetic retinopathy and diabetic macular edemadisease severity scales. Ophthalmology 2003;110:1677– 82.
3. Cohen J. A coefficient of agreement for nominal scales. EducPsychol Meas 1960;20:37–46.
4. Chylack LT Jr, Wolfe JK, Singer DM, et al, LongitudinalStudy of Cataract Study Group. The Lens Opacities Classifi-
cation System III. Arch Ophthalmol 1993;111:831–6.
Originally received: September 30, 2010.Final revision: March 16, 2011.Accepted: April 5, 2011.Available online: June 19, 2011. Manuscript no. 2010-1357.1 Center for Ophthalmology and Visual Sciences, Lions Eye Institute,University of Western Australia, Nedlands, Australia.2 The Australian E-Health Research Center, Commonwealth ScientificIndustrial Research Organization (CSIRO), Floreat, Australia.3 Ophthalmology Department, Royal Perth Hospital, Perth, Australia.4 Center for Health Services Research, School of Population Health, The
resented as a poster at: American Academy of Ophthalmology Annualeeting, October 2010, Chicago, Illinois.
inancial Disclosure(s):he author(s) have made the following disclosure(s):ogesan Kanagasingam - Inventor - EyeScan device
upported by Diabetes Australia and Royal Perth Hospital Medical Re-earch Foundation, Perth, Western Australia.
orrespondence:aniel Shu Wei S. Ting, MBBS(Hons), Center for Ophthalmology andisual Sciences, Lions Eye Institute, 2 Verdun Street, Nedlands, Western
(Group 4), captured by retinal video recording using OIS
EyeScan (Ophthalmic Imaging System, Sacramento, CA,
USA)—were selected for our study. Given that three-field
(optic disc, macula, and temporal views) retinal still
photogaphy has been the standard of care for patients
with diabetes in our center, the retinal video recordings
were also captured in a similar manner for the recruited
patients in our study. All study subjects were enrolled
from the DR Screening Clinic of Royal Perth Hospital and
this study has been approved by the Royal Perth
Hospital Human Research Ethics Committee.
Sample size estimation
To allow for a power of 95%, desired precision of 0.10,
expected sensitivity and specificity of 96%, the total
number of eyes required for each compression level was
31 (prevalence was set at 0.50 as selected samples
consisted of 50% normal and 50% abnormal retinal
digital videos).
Conversion process
A digital video can exist in various different file formats
such as moving picture experts group (MPEG), audio
video interleave (AVI), windows media video (WMV),
QuickTime Movie File (MOVIE), and, so on. It consists of
a series of bitmap digital images displayed in a rapid
succession at a constant rate. The size of a video is
determined by bit rates (BRs) and time (T). BR, defined as
the number of bits processed or conveyed per unit time,
represents the amount of information stored per unit of
time of a recording. It is determined by the frame rate
(FR), frame size (FS) and color depth (CD) of a video. The
FR is defined as the number of displayed digital images
per unit time and it is often measured in a second (frames
per second; FPS). The FS is the total number of pixels in
terms of width (W) and height (H) of an image. The CD
represents the amount of bits that form a single pixel. By
altering one of these properties, one can modify the size
of a digital video using various video compression
software packages and codecs, which are readily
available on the internet.
For our study, the uncompressed raw retinal videos
were compressed to four different levels (Groups 1–3, 4)
from the original file size using a video converter
software, Xilisoft Video Converter Ultimate 6.0 (Xilisoft
Corporation, British Virgin Island), which utilizes a
standard video codec H.264 (Table 1). The average size of
Table 1 The file size of a retinal video with different compression levels by reducing its bit rate while keeping other parametersconstant (frame rate, frame size, and zoom)
Groups Bit rate (kbps) Approx file size for 60 S Compression levelPercentage of file size from
its original size
Original uncompressed raw video 165,000 1 GB — 100%1 15,000 100 MB 90% 10%2 5000 30 MB 97% 3%3 3000 20 MB 98% 2%4 512 5 MB 99% 1%
Abbreviations: GB, gigabytes; MB, megabytes.
The setting of other parameters: 1) frame rate: 17 frames per second; (2) frame size: 640� 480 pixels; (3) Zoom: full.
Retinal Video compression for diabetic retinopathy screeningDSW Ting et al
849
Eye
an original uncompressed 30-s video was 500 MB. In our
study, we reduced the 500-MB video file to four different
levels (Group 1: 100 MB, Group 2: 30 MB, Group 3:
20 MB, and Group 4: 5 MB) by changing the BRs. The
FR and FS were set at 17 FPS and 640� 480 pixels,
respectively, as these settings have been preset by the
fundus camera (OIS EyeScan).
Reference standard
We utilized the raw uncompressed raw retinal videos as
the reference of our study as from our previous study,4 the
sensitivity and specificity of an uncompressed raw retinal
videos in detecting any grade of DR by a retinal specialist
and a consultant ophthalmologist with special interest in
diabetes, compared with the slit lamp examination by a
senior consultant ophthalmologist (with 410 years
experience in screening DR), were 490%.
Data interpretation
The converted videos were randomized and sent to two
different readers (a consultant ophthalmologist and a
medical officer) who were blinded to the compression
level of the videos. Each reader interpreted a total of 144
retinal videos (36 retinal videos at four different
compression levels) using a standard monitor screen
(iMac 27’, Apple, Cupertino, CA, USA) with a VLC
media player 1.1.4 (Apple) in a dimly lit room. The
International Clinical DR Severity Scales8 was utilized to
interpret and grade the DR severity by determining the
presence/absence of lesions including microaneuryms,
and hard exudates. In addition, the retinal videos were
rated as ‘acceptable’, ‘pixelated but interpretable’ and
‘unacceptable’ by the readers.
Data analysis
The data analysis was performed using SPSS version 17
(SPSS, Chicago, IL, USA). The main outcome measures
were the sensitivity, specificity, and k coefficient between
the uncompressed raw retinal videos and compressed
retinal videos in diagnosing any level of DR. In addition,
the k correlation was performed for other variables, such
as (1) the microaneurysms and retinal hemorrhages
between the uncompressed and compressed retinal
videos and; (2) the DR grading between the consultant
ophthalmologist and medical officer using the
uncompressed retinal videos. Values of k of 0.8 and
above were considered as excellent agreement between
two groups for our study.9
Results
All retinal videos in Group 1 (100 MB), 2 (30 MB),
and 3 (20 MB) were rated as ‘acceptable’ by the
ophthalmologist and medical officer (Table 2). For Group
4 (10 MB), only 11% and 3% of the retinal videos were
rated as ‘acceptable’ by the ophthalmologist and medical
officer, respectively. Of the 18 retinal videos with DR,
22% (n¼ 4) had mild non-proliferative DR (NPDR), 61%
(n¼ 11) had moderate NPDR, 11% (n¼ 2) had severe
NPDR, and 6% (n¼ 1) had proliferative DR.
The conversion time for the retinal videos to different
compression levels are shown in Table 3. Using the
uncompressed videos as gold standard, Group 1, 2, and 3
graded by both readers had excellent sensitivity and
specificity of 490% in detecting DR (Table 4). On the
other hand, Group 4 had the lowest sensitivity and
specificity in detecting DR changes (ophthalmologist 1—
Table 2 The quality of retinal videos (with/without diabeticretinopathy changes) of different compression levels rated by anophthalmologist and a medical officer
The compression was perfomed using a 32-bit Windows XP, 2.5 RAM,
Intel Xeon X5550 Processor 2.67 GHz with NVIDIA Quadro FX 580
graphics card (Timings may vary on different computers with different
performance).
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sensitivity: 70.6%, specificity: 94.7%; medical officer:
sensitivity: 80.0%; and specificity: 72.2%).
Also, the k between the gold standard uncompressed
videos and Groups 1, 2, and 3 to detect DR-related
changes for both readers were 40.96, whereas for Group
4, the k for the ophthalmologist and medical officer were
0.76 and 0.66, respectively. On the other hand, the kbetween the ophthalmologist and medical officer for raw
uncompressed videos, Group 1, Group 2, Group 3, and
Group 4 were 0.84, 0.84, 0.80, 0.76, and 0.43, respectively.
Similarly, the k correlation of the microaneurysms, retinal
hemorrhages, detected by both readers for Groups 1, 2,
and 3 with reference to the gold standard video files
(1 GB) were 40.9 (Table 5). For Group 4, the k for the
detection of microaneurysms by the ophthalmologist and
medical officer were both 0.87, whereas for retinal
hemorrhages, they were 0.88 and 0.87, respectively. The kcorrelation of new vessel formation and subhyaloid
hemorrhage was 1.0 in groups 1–4 graded by both
ophthalmologist and medical officer, with reference to
the uncompressed videos.
Discussion
Our study showed that the retinal videos could be
significantly compressed down to 20 MB of its original
file size with excellent sensitivity (ophthalmologist:
94.4%; medical officer: 100%) and specificity
(ophthalmologist: 100%; medical officer: 93.8%) in
detecting DR changes. The file size of a compressed 30-s
retinal video consisting of optic disc, macula, and temporal
views is B20 MB. For an uncompressed color fundus
photo captured by FF450 plus (Carl Zeiss Meditec, Inc.,
Dublin, CA, USA) in the tagged image file format (TIFF) or
BIT MAP format, each photo takes up B13 MB. In other
words, a total of 39 MB is required for a three-field color
retinal still photography. In comparison, a compressed
video will have a lower storage capacity compared with
the three uncompressed raw color fundus photos.
For Group 4 (5 MB), most of the retinal videos were
rated as ‘pixelated but interpretable’ by both readers
(Table 2). Nonetheless, they did not possess comparable
sensitivity and specificity with other three groups
(Table 4). In addition, the feedback from the
ophthalmologist and medical officer were similar.
Although reading the video recordings from groups 1–3
was comfortable, interpreting the ‘pixelated’ videos was
‘extremely tiring’ and ‘time consuming’, as more time
was required to differentiate a true lesion from the
normal retina and most of them were very ‘disjointed’
and ‘blurred’. Hence, this compression level will not be
ideal in the setting of diabetic retinopathy screening.
To the authors’ knowledge, no data were published on
retinal digital video recording for DR screening. Given that
this is one of the first studies that evaluate the effectiveness
of retinal video recordings at different compression levels,
we selected the uncompressed raw retinal videos, which
are considered to be of ‘good’ quality. Our results indicated
that a retinal video can be compressed down to 20 MB
without compromising its quality and diagnostic accuracy.
This study will need to be further expanded on retinal
videos with varying quality, especially ones with
compromised quality due to media opacities and dark
fundi, to assess the effects of video compression.
The medical officer in this study had interpreted
41000 color fundus photos of diabetic patients before
this study. The difference in the detection of DR between
the ophthalmologist and medical officer was minimal
(Table 4). These results indicated that the compressed
retinal videos could be potentially interpreted by trained
Table 4 The sensitivity, specificity, and k correlation ofdifferent compression levels for retinal videos in detecting DRgrading by an ophthalmologist and a medical officer withreference to uncompressed raw retinal videos (1 GB)
Table 5 The k correlation of the microaneurysms and retinalhemorrhages detected by both ophthalmologist and medicalofficer at different compression levels with reference to theuncompressed raw video files (1 GB)
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non-ophthalmologist personnel and thus, the consultant
specialist input can be redirected to more useful areas
such as provision of consultations and surgical
intervention for patients with sight-threatening DR.
Only one retinal video was graded differently to
the uncompressed recording by the consultant
ophthalmologist in Groups 2 and 3 and medical officer in
Group 3. Owing to the relatively small sample size, this
has significantly reduced the sensitivity and specificity of
detecting DR grading by the consultant ophthalmologist
(specificity of 94.6% in Group 2 and sensitivity of 94.4% in
Group 3) and medical officer (specificity of 93.8% in
Group 3) (Table 4). Despite fulfilling the sample size
estimation, we felt that this was still one of the weaknesses
of our study and thus, further research with a larger
sample size will be of great value to explore the diagnostic
accuracy of video compression at 30 and 20 MB, and other
compression levels such as 15 and 10 MB.
In detecting DR changes for Groups 3 (20 MB) and 4
(5 MB), the sensitivity of the medical officer in detecting
DR changes was higher than the ophthalmologist, but in
contrast, the ophthalmologist had a higher specificity
than the medical officer (Table 4). The difference in
diagnostic sensitivity and specificity indicated that the
medical officer had a lower threshold in diagnosing a
patient with DR compared with the ophthalmologist,
especially in cases where he was uncertain about a
suspicious lesion. Although false-positive diagnoses
may result in more ‘unnecessary’ referrals to an
ophthalmologist, it is critical to note that a screener
should always refer the patients with a suspicious lesion
to an ophthalmologist to avoid any misdiagnosis of a
sight-threatening condition.
The Xilisoft Video Converter Ultimate 6.0 utilizes a
standard video codec H.264 which is compatible for both
Windows and Macintosh. The retinal video recording
device (OIS EyeScan) does not possess a built-in retinal
video compression program, which performs different
compression levels for the retinal videos. Given that the
OIS EyeScan is one of the first fundus cameras to perform
color retinal video recording, future research could
be conducted for OIS EyeScan or other devices to
incorporate a built-in retinal video compression program
to further shorten the process of converting a retinal video.
Depending on each compression level, the conversion
time for a retinal video from an uncompressed format
(500 MB) requires 16–25 s using a 32-bit Windows XP (2.5
RAM, Intel Xeon X5550 Processor 2.67 GHz with NVIDIA
Quadro FX 580 graphics card) (Table 3). This timing may
vary slightly on different computers with different
performance. This is a rapid conversion process as nearly
250 retinal videos can be converted within an hour. As
the retinal videos can be readily compressible to be
interpreted and stored, the retinal video recording
technique can be potentially utilized as a tele-
ophthalmology screening tool. It will be of great value to
conduct further research to evaluate the cost and clinical
effectiveness of performing tele-retinal video recording
for DR screening in the remote underserved areas.
In conclusion, a retinal video recording can be
compressed from 500 to 20 MB while maintaining its
quality, sensitivity, and specificity of DR grading. As
network bandwidth is an issue in most of the rural and
remote locations, the retinal video transmission speed
could be increased by reducing the file size without
significant loss of diagnostic information using efficient
compression techniques. Given that, the retinal videos
are easily compressible while retaining excellent
diagnostic accuracy, retinal video recording may be used
as an alternative technique in DR screening centers. As
this technique is still in its infancy, more research is
required to improve the usability of this technique.
Summary
What was known before
K Retinal video recording has been recently proposed to bea novel diabetic retinopathy screening method. It is quickto perform and yields excellent sensitivity and specificityin detection of any grade of diabetic retinopathy.
What this study adds
K This study shows that the retinal video recording can becompressed down to 20 MB without compromising itssensitivity and specificity in detection of any grade ofdiabetic retinopathy. It enables rapid transmission of datavia internet and also much less requirement for datastorage. Hence, retinal video recording can be potentiallyutilized as a routine, mobile, and tele-ophthalmologyscreening method.
Conflict of interest
The authors declare no conflict of interest.
Acknowledgements
Diabetes Australia Research Trust and Royal Perth
Hospital Medical Research Foundation provided the
research funding for this study. The sponsor or funding
organization had no role in the design or conduct of this
research.
Authors contributions
DSW Ting contributed to the study conception and
design, data acquisition, data analysis, data
interpretation and drafting the article. ML Tay-Kearney
contributed to the study conception and design,
Retinal Video compression for diabetic retinopathy screeningDSW Ting et al
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revision of the important intellectual content, and final
approval of the version to be published. J Vignarajan
contributed to the data acquisition and data analysis.
Y Kanagasingam contributed to the study conception
and design, revision of the important intellectual content,
and final approval of the version to be published.
References
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3 Ferris 3rd, FL. How effective are treatments for diabeticretinopathy? JAMA 1993; 269: 1290–1291.
4 Ting DSW, Tay-Kearney ML, Constable IJ, Lim L, Preen DB,Kanagasingam Y et al. Retinal video recording: a new way to
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