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CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning

Authors
 Seokhun Yang  ;  Bon-Kwon Koo  ;  Masahiro Hoshino  ;  Joo Myung Lee  ;  Tadashi Murai  ;  Jiesuck Park  ;  Jinlong Zhang  ;  Doyeon Hwang  ;  Eun-Seok Shin  ;  Joon-Hyung Doh  ;  Chang-Wook Nam  ;  Jianan Wang  ;  Shaoliang Chen  ;  Nobuhiro Tanaka  ;  Hitoshi Matsuo  ;  Takashi Akasaka  ;  Gilwoo Choi  ;  Kersten Petersen  ;  Hyuk-Jae Chang  ;  Tsunekazu Kakuta  ;  Jagat Narula 
Citation
 JACC-CARDIOVASCULAR IMAGING, Vol.14(3) : 629-641, 2021-03 
Journal Title
 JACC-CARDIOVASCULAR IMAGING 
ISSN
 1936-878X 
Issue Date
2021-03
Keywords
atherosclerosis ; coronary artery disease ; coronary computed tomography angiography ; coronary plaque ; fractional flow reserve ; ischemia
Abstract
Objectives: The goal of this study was to investigate the association of stenosis and plaque features with myocardial ischemia and their prognostic implications. Background: Various anatomic, functional, and morphological attributes of coronary artery disease (CAD) have been independently explored to define ischemia and prognosis. Methods: A total of 1,013 vessels with fractional flow reserve (FFR) measurement and available coronary computed tomography angiography were analyzed. Stenosis and plaque features of the target lesion and vessel were evaluated by an independent core laboratory. Relevant features associated with low FFR (≤0.80) were identified by using machine learning, and their predictability of 5-year risk of vessel-oriented composite outcome, including cardiac death, target vessel myocardial infarction, or target vessel revascularization, were evaluated. Results: The mean percent diameter stenosis and invasive FFR were 48.5 ± 17.4% and 0.81 ± 0.14, respectively. Machine learning interrogation identified 6 clusters for low FFR, and the most relevant feature from each cluster was minimum lumen area, percent atheroma volume, fibrofatty and necrotic core volume, plaque volume, proximal left anterior descending coronary artery lesion, and remodeling index (in order of importance). These 6 features showed predictability for low FFR (area under the receiver-operating characteristic curve: 0.797). The risk of 5-year vessel-oriented composite outcome increased with every increment of the number of 6 relevant features, and it had incremental prognostic value over percent diameter stenosis and FFR (area under the receiver-operating characteristic curve: 0.706 vs. 0.611; p = 0.031). Conclusions: Six functionally relevant features, including minimum lumen area, percent atheroma volume, fibrofatty and necrotic core volume, plaque volume, proximal left anterior descending coronary artery lesion, and remodeling index, help define the presence of myocardial ischemia and provide better prognostication in patients with CAD. (CCTA-FFR Registry for Risk Prediction; NCT04037163).
Full Text
https://www.sciencedirect.com/science/article/pii/S1936878X20308111
DOI
10.1016/j.jcmg.2020.08.025
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Chang, Hyuk-Jae(장혁재) ORCID logo https://orcid.org/0000-0002-6139-7545
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/182851
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