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Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function

Author(s)
Konkel, Brandon; Lavin, Christopher; Wu, Tong Tong; Anderson, Erik; Iwamoto, Aya; Rashid, Hadi; Gaitian, Brandon; Boone, Joseph; Cooper, Matthew; Abrams, Peter; Gilbert, Alexander; Tang, Qinggong; Levi, Moshe; Fujimoto, James G; Andrews, Peter; Chen, Yu; ... Show more Show less
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Abstract
Current measures for assessing the viability of donor kidneys are lacking. Optical coherence tomography (OCT) can image subsurface tissue morphology to supplement current measures and potentially improve prediction of post-transplant function. OCT imaging was performed on donor kidneys before and immediately after implantation during 169 human kidney transplant surgeries. A system for automated image analysis was developed to measure structural parameters of the kidney’s proximal convoluted tubules (PCTs) visualized in the OCT images. The association of these structural parameters with post-transplant function was investigated. This study included kidneys from live and deceased donors. 88 deceased donor kidneys in this study were stored by static cold storage (SCS) and an additional 15 were preserved by hypothermic machine perfusion (HMP). A subset of both SCS and HMP deceased donor kidneys were classified as expanded criteria donor (ECD) kidneys, with elevated risk of poor post-transplant function. Post-transplant function was characterized as either immediate graft function (IGF) or delayed graft function (DGF). In ECD kidneys stored by SCS, increased PCT lumen diameter was found to predict DGF both prior to implantation and following reperfusion. In SCD kidneys preserved by HMP, reduced distance between adjacent lumen following reperfusion was found to predict DGF. Results suggest that OCT measurements may be useful for predicting post-transplant function in ECD kidneys and kidneys stored by HMP. OCT analysis of donor kidneys may aid in allocation of kidneys to expand the donor pool as well as help predict post-transplant function in transplanted kidneys to inform post-operative care.
Date issued
2019-03
URI
https://hdl.handle.net/1721.1/121437
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Journal
Biomedical Optics Express
Publisher
Optical Society of America
Citation
Konkel, Brandon et al. "Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function." Biomedical Optics Express 10, 4 (March 2019): 1794-1821 © 2019 Optical Society of America
Version: Final published version
ISSN
2156-7085
2156-7085

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