Li Yiming, Jia Kaiyu, Jia Yuheng, Yang Yong, Yao Yijun, Chen Mao, Peng Yong
Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Precis Clin Med. 2021 Jul 26;4(3):192-203. doi: 10.1093/pcmedi/pbab018. eCollection 2021 Sep.
Risk assessment in coronary artery disease plays an essential role in the early identification of high-risk patients. However, conventional invasive imaging procedures all require long intraprocedural times and high costs. The rapid development of coronary computed tomographic angiography (CCTA) and related image processing technology has facilitated the formulation of noninvasive approaches to perform comprehensive evaluations. Evidence has shown that CCTA has outstanding performance in identifying the degree of stenosis, plaque features, and functional reserve. Moreover, advancements in radiomics and machine learning allow more comprehensive interpretations of CCTA images. This paper reviews conventional as well as novel diagnostic and risk assessment tools based on CCTA.
冠状动脉疾病的风险评估在高危患者的早期识别中起着至关重要的作用。然而，传统的侵入性成像检查都需要较长的检查时间且费用高昂。冠状动脉计算机断层血管造影（CCTA）及相关图像处理技术的快速发展推动了非侵入性方法的形成，以进行全面评估。有证据表明，CCTA在识别狭窄程度、斑块特征和功能储备方面具有出色的表现。此外，放射组学和机器学习的进展使得对CCTA图像能够进行更全面的解读。本文综述了基于CCTA的传统以及新型诊断和风险评估工具。
