A Fully Automated Deep Learning Model for Quantifying Coronary Plaque at Coronary CT Angiography

作者：Q Chen, Qian Chen, Fan Zhou, Fan Zhou, Wei Xing, Yi Xu, Shudong Hu, Tao Pan, Wei Cao, Song Luo, Yibing Shi, Song Luo, Lei Xu, Shijun Zhang, Chao Zheng, Shijun Zhang, Chao Zheng, Zhiwen Yang, Hongyan Qiao, Bangjun Guo, Tongyuan Liu, Peng Xu, Wei Xu, Jian Zhong, Guanghui Xie, Xinwei Tao, Guangming Lu, Chun Xiang Tang, Junjie Zhang, for the China VALUE Study Group, Long Jiang Zhang, for the China VALUE Study Group · 发表于：Radiology · 年份：2026 · DOI：10.1148/radiol.251967 · 被引用次数：1 · 研究领域：Cardiac Imaging and Diagnostics、Coronary Interventions and Diagnostics、Cardiovascular Disease and Adiposity

A fully automated deep learning model based on coronary CT angiography was developed to quantify plaque volume, which was associated with the incidence of major adverse cardiac events.