Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning

Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning

ObjectivesThis study aimed to evaluate and compare the diagnostic accuracy of machine learning (ML)- fractional flow reserve (FFR) based on optical coherence tomography (OCT) with wire-based FFR irrespective of the coronary territory.BackgroundML techniques for assessing hemodynamics features includ...

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Bibliographic Details
Main Authors: Jung-Joon Cha, Ngoc-Luu Nguyen, Cong Tran, Won-Yong Shin, Seul-Gee Lee, Yong-Joon Lee, Seung-Jun Lee, Sung-Jin Hong, Chul-Min Ahn, Byeong-Keuk Kim, Young-Guk Ko, Donghoon Choi, Myeong-Ki Hong, Yangsoo Jang, Jinyong Ha, Jung-Sun Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
fractional flow reserve
optical coherence tomography
preoperative planning
cardiovascular imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1082214/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1082214/full

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