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25 - 30 January 2025
San Francisco, California, US
Conference 13305 > Paper 13305-30
Paper 13305-30

Noninvasive evaluation of deceased marginal donor liver viability using polarization-sensitive optical coherence tomography

28 January 2025 • 10:35 AM - 10:55 AM PST | Moscone South, Room 203 (Level 2)

Abstract

Liver transplantation for severe hepatic diseases faces a critical shortage of donor livers globally. Utilizing marginal donor livers could alleviate this issue, yet current biopsy-based assessments are limited in evaluating their viability comprehensively. We propose employing polarization-sensitive optical coherence tomography (PS-OCT) to noninvasively scan multiple regions of donor livers, providing detailed microstructural and tissue property evaluations. Our approach integrates texture feature extraction and machine learning to correlate PS-OCT findings with pathological assessments, demonstrating its potential to enhance pre-transplantation viability evaluations. PS-OCT offers a promising tool for transplant clinics, offering precise, noninvasive insights into liver tissue quality across entire donor organs.

Presenter

The Univ. of Oklahoma (United States)
Feng Yan is a post-doctoral associate in Biomedical Engineering at the University of Oklahoma and Duke University. He received his Ph.D. in Biomedical Engineering from the University of Oklahoma in 2024, where he was honored with the overall Outstanding Graduate Student Award and the Dissertation Excellence Award for his work on multi-contrast optical coherence tomography in various biomedical applications. Prior to his doctoral studies, Feng Yan earned his bachelor's degree in engineering from Nanchang Hangkong University in 2017 and engaged in the research of Stimulated Brillouin Scattering and optical coherence tomography. Currently, his research interests lie in biophotonics and multimodal imaging, with a focus on optical coherence tomography, multi-photon microscopy, and fluorescence imaging. His research endeavors encompass noninvasive assessment of organ viability for human organ transplantation and cancer detection spanning from the cellular to the clinical level.
Application tracks: Translational Research , AI/ML
Presenter/Author
The Univ. of Oklahoma (United States)
Author
Qinghao Zhang
The Univ. of Oklahoma (United States)
Author
The Univ. of Oklahoma (United States)
Author
Takaki Mishima
The Univ. of Oklahoma (United States)
Author
Takaki Mishima
The Univ. of Oklahoma (United States)
Author
Ebenezer Raj Selvaraj Mercyshalinie
The Univ. of Oklahoma (United States)
Author
The Univ. of Oklahoma (United States)
Author
The Univ. of Oklahoma Health Sciences Ctr. (United States)
Author
The Univ. of Oklahoma Health Sciences Ctr. (United States)
Author
Clint Hostetlet
LifeShare Transplant Donor Services of Oklahoma, Inc. (United States)
Author
Ashley Milam
LifeShare Transplant Donor Services of Oklahoma, Inc. (United States)
Author
Bradon Nave
LifeShare Transplant Donor Services of Oklahoma, Inc. (United States)
Author
Fujian Normal Univ. (China)
Author
The Univ. of Oklahoma (United States)