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Proceedings Paper

Using OCT to predict post-transplant renal function
Author(s): Peter M. Andrews; Yu Chen; Jeremiah Wierwille; Daniel Joh; Peter Alexandrov; Derek Rogalsky; Patrick Moody; Allen Chen; Matthew Cooper; Jennifer E. Verbesey; Wei Gong; Hsing-Wen Wang
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Paper Abstract

The treatment of choice for patients with end-stage renal disease is kidney transplantation. However, acute tubular necrosis (ATN) induced by an ischemic insult (e.g., from prolonged ex vivo storage times, or non-heart beating cadavers) is a major factor limiting the availability of donor kidneys. In addition, ischemic induced ATN is a significant risk factor for eventual graft survival and can be difficult to discern from rejection. Currently, there are no rapid and reliable tests to determine ATN suffered by donor kidneys and whether or not donor kidneys might exhibit delayed graft function. OCT (optical coherence tomography) is a rapidly emerging imaging modality that can function as a type of “optical biopsy”, providing cross-sectional images of tissue morphology in situ and in real-time. In a series of recent clinical trials, we evaluated the ability of OCT to image those features of the renal microstructure that are predictive of ATN. Specifically, we found that OCT could effectively image through the intact human renal capsule and determine the extent of acute tubular necrosis. We also found that Doppler based OCT (i.e., DOCT) revealed renal blood flow dynamics that is also reported to be a determiner of post-transplant renal function. This kind of information will allow transplant surgeons to make the most efficient use of available donor kidneys, eliminate the possible use of bad donor kidneys, provide a measure of expected post-transplant renal function, and allow better distinction between post-transplant immunological rejection and ischemic-induced acute renal failure.

Paper Details

Date Published: 8 March 2013
PDF: 8 pages
Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 856511 (8 March 2013); doi: 10.1117/12.2005962
Show Author Affiliations
Peter M. Andrews, Georgetown Univ. Medical Ctr. (United States)
Yu Chen, The Univ. of Maryland, College Park (United States)
Jeremiah Wierwille, The Univ. of Maryland, College Park (United States)
Daniel Joh, Georgetown Univ. Medical Ctr. (United States)
Peter Alexandrov, Georgetown Univ. Medical Ctr. (United States)
Derek Rogalsky, Georgetown Univ. Medical Ctr. (United States)
Patrick Moody, Georgetown Univ. Medical Ctr. (United States)
Allen Chen, Georgetown Univ. Medical Ctr. (United States)
Matthew Cooper, Georgetown Univ. Medical Ctr. (United States)
Jennifer E. Verbesey, Georgetown Univ. Medical Ctr. (United States)
Wei Gong, The Univ. of Maryland, College Park (United States)
Fujian Normal Univ. (China)
Hsing-Wen Wang, The Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 8565:
Photonic Therapeutics and Diagnostics IX
Andreas Mandelis; Brian Jet-Fei Wong; Anita Mahadevan-Jansen; Henry Hirschberg; Hyun Wook Kang; Nikiforos Kollias; Melissa J. Suter; Kenton W. Gregory; Guillermo J. Tearney; Stephen Lam; Bernard Choi; Steen J. Madsen; Bodo E. Knudsen; E. Duco Jansen; Justus F. Ilgner; Haishan Zeng; Matthew Brenner; Laura Marcu, Editor(s)

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