Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia

Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia

Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR), and explore the influential factors of functional ischemia.Methods: We retrospectively...

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Bibliographic Details
Main Authors: Yan Feng, Zhihan Xu, Lin Zhang, Yaping Zhang, Hao Xu, Xiaozhong Zhuang, Hao Zhang, Xueqian Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Physiology
Subjects:
machine learning
fractional flow reserve
radiomics
functional ischemia
coronary computed tomography angiography
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.980996/full

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https://www.frontiersin.org/articles/10.3389/fphys.2022.980996/full

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