The results of the quantitative evaluation of LI Ki67 by the open and commercial software for automatic image analysis in invasive breast carcinomas Bilbao, 2018 Vladimir Kushnarev, trainee of pathology department of N.N Petrov Cancer Research Center
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The results of the quantitative evaluation of LI
Ki67 by the open and commercial software for
automatic image analysis in invasive breast
carcinomas
Bilbao, 2018
Vladimir Kushnarev,
trainee of pathology department of
N.N Petrov Cancer Research Center
I have no actual or potential conflict
of interest in relation to this
presentation
Disclosure
Surrogate molecular classification of breast carcinoma
Surrogate molecular classification of breast carcinoma
Breast Cancer
Index®
EndoPredict®
(EPclin®)
MammaPrint®
Oncotype DX®
Prosigna®
pT1a-b pN0 ER+ PR+ HER2-
low Ki67 and low grade
Surrogate molecular classification of breast carcinoma
14% and 20% Ki67 - cut-off according to
recommendation
Problem of reproducibility in:
- preanalytical step
- analytical step
- postanalytical step
What is optimal cut-off for Ki67? Old story
Ki-67 score is defined as the percentage of total number of tumour cells with
nuclear staining
Factors which influence on postanalytical step:
- Image analysis methods for Ki67 remain to be proven for
use in clinical practice.
- Lack of consensus about which area of the tumour
should be assessed
Modern interpretation of old story. What we can do?
How to count?
How to count?
Digital Image Analysis
What we can do:
- standardization
- deep learning and pattern analysis
- big data
- high speed
How to count?
How to count?
Aim
To find out the possibilities of digital image analysis for the
quantitative evaluation of the expression of the Ki67 protein in