AI-enabled Quantitative High-Risk Plaque Attributes for Predicting Coronary Events in Nonculprit Vessels

Radiology Cardiothoracic Imaging 2026

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Authors: Qian Chen, Xiaofei Gao, Ling Lin, Pengpeng Xu, Tao Pan, Xi Hu, Ya Liu, Yu Gong, Chao Zheng, Zhiwen Yang, Xinwei Tao, Hui Xu
+2 more Long Jiang Zhang, Jun-Jie Zhang
DOI: 10.1148/ryct.250256
Cited by: 0
References: 28

Abstract

Artificial intelligence–derived quantitative, high-risk coronary CT angiography features (vessel-specific fractional flow reserve and necrotic core volume) had independent and incremental prognostic value for nonculprit vessel-related major adverse cardiac events.

Fields of Study & Subjects

Cardiac Imaging and Diagnostics Coronary Interventions and Diagnostics Coronary Artery Anomalies

Publication details

Journal / source
Radiology Cardiothoracic Imaging
Volume
8
Issue
1
Pages
e250256–e250256
Publication date
1 February 2026
Language
EN