2. Factors Affecting Drug Distribution Through Infusion by The Infusion Physics Study Group* 05-18-09 Convection Enhanced Delivery (CED) is a technique used to distribute drugs inside the brain parenchyma using pressure to cause the movement of infused fluid. 1 While this technique does distribute large molecules much further than diffusion alone could do, its application has been limited because the extent and shape of distribution are variable. Understanding and reducing the causes of such variability was the purpose of this study. Previous in vivo experience has shown that the most common departure from ideal infusion distribution was backflow along the outer surface cannula. (Figure 1a shows an image of a good infusion and Figure 1b shows an image of an infusion with significant backflow.) Backflow takes place whenever it is easier for the fluid to travel along an annular space created between the outer surface of the catheter and the surrounding medium than out through the pores of the media. We systematically studied the physics of infusion in gels and attempted to determine the conditions that contributed to variability. We then tested the applicability of these findings in vivo. Each experiment was performed at least three times, maintaining the same conditions, in order to evaluate reproducibility. In total, over 300 experiments were performed. This study was based on the hypotheses that 1. Infusion into a uniform and isotropic medium leads to a spherical infusate distribution, and 2. Whenever the medium is either non-uniform or non-isotropic, the infusion will depart from the spherical distribution, often in unpredictable ways. No single technique ensures reproducibility. Instead some of the techniques increased the margin for error in the system. The experiments focused on five key subjects: (1) Effect of cannula insertion techniques (2) Effect of using a stepped cannula design (3) Effect of a prior cannula track in the surrounding medium (4) Effect of using pulsatile flow (5) Infusion pressure as a real-time monitor Experimental methods are described in the Appendix. Effect of cannula placement technique: The method of insertion itself can have a significant effect on variability of the infusion due to the seal of the gel around the catheter. We evaluated various techniques that have been used in prior work. Figure 2 shows the three insertion modes that were evaluated.
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2. Factors Affecting Drug Distribution Through Infusion
by The Infusion Physics Study Group*
05-18-09
Convection Enhanced Delivery (CED) is a technique used to distribute drugs inside the
brain parenchyma using pressure to cause the movement of infused fluid.1 While this
technique does distribute large molecules much further than diffusion alone could do, its
application has been limited because the extent and shape of distribution are variable.
Understanding and reducing the causes of such variability was the purpose of this study.
Previous in vivo experience has shown that the most common departure from ideal
infusion distribution was backflow along the outer surface cannula. (Figure 1a shows an
image of a good infusion and Figure 1b shows an image of an infusion with significant
backflow.) Backflow takes place whenever it is easier for the fluid to travel along an
annular space created between the outer surface of the catheter and the surrounding
medium than out through the pores of the media.
We systematically studied the physics of infusion in gels and attempted to determine the
conditions that contributed to variability. We then tested the applicability of these
findings in vivo. Each experiment was performed at least three times, maintaining the
same conditions, in order to evaluate reproducibility. In total, over 300 experiments were
performed.
This study was based on the hypotheses that
1. Infusion into a uniform and isotropic medium leads to a spherical infusate
distribution,
and
2. Whenever the medium is either non-uniform or non-isotropic, the infusion will
depart from the spherical distribution, often in unpredictable ways.
No single technique ensures reproducibility. Instead some of the techniques increased the
margin for error in the system.
The experiments focused on five key subjects:
(1) Effect of cannula insertion techniques
(2) Effect of using a stepped cannula design
(3) Effect of a prior cannula track in the surrounding medium
(4) Effect of using pulsatile flow
(5) Infusion pressure as a real-time monitor
Experimental methods are described in the Appendix.
Effect of cannula placement technique:
The method of insertion itself can have a significant effect on variability of the infusion
due to the seal of the gel around the catheter. We evaluated various techniques that have
been used in prior work. Figure 2 shows the three insertion modes that were evaluated.
Figure 2a shows the results obtained when the catheter was inserted into the gel while it
was still in liquid form and then allowed to solidify around the catheter. Good spherical
distribution with no backflow was observed in 5 or 6 experiments. In contrast, if after
allowing the gel to solidify around the catheter, and then lifting the catheter 3mm and
then “re seating” it to its original position (to break the seal between the gel and the
catheter), we observed backflow of approximately 17 mm every time. (see Figure 2B)
The third method used to insert the catheter consisted of first allowing the gel to solidify
and then inserting the catheter into the solidified gel. As can be seen in Figure 2c, this
method provided the most variability. Nevertheless, this mode was chosen for most
experiments since it is the most realistic insertion mode for in vivo experiments.
Smooth insertion was an important factor in minimizing backflow. Even a slight lateral
movement of the catheter could provide a low resistance path for backflow. Sometimes
these movements were too small to be visible by the naked eye, necessitating the use of a
video monitor for observation. For most experiments, a mechanical introducer was used
to insert the catheter in a consistent manner.
Inserting the catheter into the gel often causes small cracks to from around the catheter.
Figure 3a shows the typical backflow at room temperature when the gel is constrained in
a plastic cube. This problem can be minimized by raising the temperature of the gel to
body temperature by suspending it in a heated bath and removing the gel from the plastic
cube. This set up is called “unconstrained gel at temperature”. Backflow in such cases is
more typical of backflow in tissue and is shown in Figure 3b.
Effect of using a stepped design: A catheter disturbs the surrounding medium by displacing some of it while being
inserted. Catheters with a smaller outside diameter will cause less displacement than
those with a larger gauge.
A cannula has to be rigid enough to allow successful in vivo insertion. A step design can
give most of the catheter sufficient structural rigidity to allow it to be inserted into a gel
or the brain tissue while minimizing the displacement of the material in the target region
by the use of a step. The step can also help hinder any backflow starting at the cannula
tip. Such a step is illustrated in Figure 4.
Figure 2b shows 15-17mm of backflow which was consistently observed using a
standard straight catheter. Figure 5 shows results obtained using the step catheter. The
step completely stops the backflow in 3 of the 4 cases and impedes the backflow in the
other case at this flow rate.
Figure 6 shows the effect of the step at different flow rates. At low flow rates the
backflow does not reach the step. At intermediate flow rates the step impedes backflow,
but if the flow rate is high enough, the backflow overcomes the step.
Figure 7 shows the effect of the step in vivo with no backflow observed above the step,
either early on or later in the course of the infusion.
The effect of a prior catheter track in the surrounding medium:
In-vivo experiments had shown that tissue damage from a previous cannula track can
provide a low resistance path for the infusate. The top image in Figure 8 shows the
previous catheter track as well as the current catheter. The bottom of Figure 8 shows the
infusion cloud as it is diverted by the prior catheter track.
This condition was replicated in a gel experiment by inserting and then removing a
cannula adjacent to the current catheter. As shown in Figure 9, the irregularity in the
medium presents less resistance to flow and results in a preferential flow path for the
infusate.
Effect of Pulsatile Flow:
Backflow may be looked at as a result of competition between two paths for the fluid
flow: one, through the pores of the surrounding medium, and the other, along an annulus
surrounding the catheter. If these two paths had different elastic behaviors, they would
respond differently to pulsed flow: one path may open more rapidly than the other when
the fluid pressure is increased in a step-wise manner.
We tested the dynamic (time-dependent) characteristics of the two paths by employing
periodic pulsing of the pressure. Typically, the pressure was on for 1-2 seconds and off
for 8- 9, and this cycle was repeated every 10 seconds.
Gel results are shown in Figure 10 where the average flow rate of the pulsed flow is the
same as in the case of steady flow (i.e. 20% duty cycle with a peak flow of 100uL/min is
the same average rate as a steady flow of 20uL/min).. In the steady infusion, backflow
begins at a total infused volume of 50mL, while in the pulsed case, it does not appear
even at 190mL. This suggests that the annulus opens up more slowly in response to a
step increase in pressure than do the pores. Consequently, we are likely to encounter less
backflow.
Figure 11 shows the affect of increasing the duty cycle while keeping the flow rate
constant. In each case, the total Vi is 50uL, but the average flow rate is different. The
10% duty cycle results in a perfect sphere; 20% duty cycle results in backflow at 10uL
and an elliptical shape at 50uL; 50% duty cycle results in backflow at 10uL and an
oblong shape at 50uL. As the pulsed flow approaches steady flow, the backflow tends
toward the behavior expected in steady flow.
Figure 12 shows an indication of this phenomenon in vivo. The infusion on left side of
the putamen was performed at 1uL/min steady flow; the right side used pulsatile flow 1
second on/9 off with with a peak flow of 10uL/min. The right side has a more spherical
distribution and is distributed further into the tissue.
More experiments are planned to evaluate this phenomena in vivo under inter-operative
MRI
Infusion pressure as a real-time indicator:
The pressure required to maintain a given flow rate is a potentially valuable external
indicator of what is happening within the cannula and in the surrounding medium.
Figure 13 shows a typical pressure profile. The pressure rises to the required level and
then remains stable until the infusion is completed. We often saw a similar pressure
profile even in the presence of backflow, as seen in Figure 14.
However, Figure 15 shows a markedly different pressure profile. The pressure rises to a
peak of 43mm Hg and then drops to approximately 25mm Hg in about 30 seconds before
decaying to a steady state pressure of 18mm Hg. Examination of the video of the
infusion showed that an occlusion had initially blocked the flow. As the pressure was
rising, the occlusion was forced out of the catheter, followed by the pressure dropping.
Figure 16 shows a somewhat lower peak of 37mm Hg and a longer decay to about 25mm
Hg. Examination of the video indicated a partial occlusion which was gradually
removed.2
Pressure profiles corresponding to both complete and partial occlusion have been
observed in vivo as well. Figure 17 shows an in vivo example.
Due to the probable important role in causing variability of infusion results, further
studies of occlusion in gels and in vivo will be the subject of another report by the
Infusion Physics Study Group.
*The Infusion Physics Study Group:
Research Contributor
Senior investigators and in
vivo/ex vivo experiments Dr. Krystof Bankiewicz, University of
California at San Francisco
Dr. Marina E. Emborg, University of
Wisconsin, Madison
Fluid physics Dr. Raghu Ragavan, Therataxis
Dr. Martin Brady, Therataxis
Simulations/engineering Chris Ross, Engineering Resources
Group, Inc.
MRI physics Dr. Andrew Alexander, University of
Wisconsin, Madison
Dr. Tracy McKnight, University of
California at San Francisco
Technical contributors
(in alphabetical order) Janine Beyer, University of California at
San Francisco
John Bringas, University of California at
San Francisco
Dr. Kevin Brunner, University of
Wisconsin, Madison
Michael Dobbert, University of
Wisconsin, Madison
Ronald Fisher, University of Wisconsin,
Madison
Valerie Joers, University of Wisconsin,
Madison
Philip Pivirotto, University of California
at San Francisco
James J. Raschke, University of
Wisconsin, Madison
Dr. Dali Yin, University of California at
San Francisco
Elizabeth Zakszewski, University of
Wisconsin, Madison
Project management Ken Kubota, Kinetics Foundation
Tom Dunlap, Kinetics Foundation
References:
1. Convection Enhanced Delivery is described in the companion report, “What is CED?”
by the Infusion Study Group, May, 2009
2. This phenomenon was observed in “Convection-enhanced delivery of macromolecules
in the brain”, R. Hunt Bobo, Douglas W. Laske, Aytac Akbasak, Paul F. Morrison,
Robert L. Dedrick, and Edward H. Oldfield, Proc. Natl. Acad. Sci. USA, Vol. 91, pp.