Detection of arterial remodeling using epicardial adipose tissue assessment from CT calcium scoring scan

Detection of arterial remodeling using epicardial adipose tissue assessment from CT calcium scoring scan

IntroductionNon-contrast CT calcium scoring (CTCS) exams have been widely used to assess coronary artery disease. However, their clinical applications in predicting coronary arterial remodeling remain unknown. This study aimed to develop a novel machine learning model to predict positive remodeling...

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Main Authors: Juhwan Lee, Tao Hu, Michelle C. Williams, Ammar Hoori, Hao Wu, Justin N. Kim, David E. Newby, Robert Gilkeson, Sanjay Rajagopalan, David L. Wilson
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
high risk plaque features
positive remodeling
computed tomography calcium scoring
fat-omics
machine learning
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1543816/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1543816/full

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