Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function
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 im...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Optical Society of America
2019
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| Online Access: | https://hdl.handle.net/1721.1/121437 |
| _version_ | 1826206825673916416 |
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| author | 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 |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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 |
| author_sort | Konkel, Brandon |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:38:51Z |
| format | Article |
| id | mit-1721.1/121437 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:38:51Z |
| publishDate | 2019 |
| publisher | Optical Society of America |
| record_format | dspace |
| spelling | mit-1721.1/1214372022-10-01T16:18:10Z Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function 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 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics 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. National Institutes of Health (U.S.) (Grant NIH 1R01 DK 094877) 2019-06-27T19:10:10Z 2019-06-27T19:10:10Z 2019-03 2019-02 2019-06-26T16:48:57Z Article http://purl.org/eprint/type/JournalArticle 2156-7085 2156-7085 https://hdl.handle.net/1721.1/121437 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 en http://dx.doi.org/10.1364/boe.10.001794 Biomedical Optics Express Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Optical Society of America OSA Publishing |
| spellingShingle | 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 Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title | Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title_full | Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title_fullStr | Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title_full_unstemmed | Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title_short | Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function |
| title_sort | fully automated analysis of oct imaging of human kidneys for prediction of post transplant function |
| url | https://hdl.handle.net/1721.1/121437 |
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