Rationale design and baseline characteristics of Chinese registry in early detection and risk stratification of coronary plaques (C-STRAT) study

摘要

To the Editor: Coronary computed tomographic angiography (CCTA) has been considered as one of the most important noninvasive imaging modalities in diagnosing coronary artery disease (CAD).[1] Modern scanner of CCTA can provide precise coronary atherosclerotic plaque information, showing improved diagnostic accuracy and sensitivity for identifying obstructive CAD with a preferable temporal and spatial resolution. Several studies have demonstrated the prognosis value of CCTA for the prediction of future adverse CAD events.[2] However, these findings were mostly based on old scanner of CCTA and from developed countries. On the other hand, artificial intelligence (AI) and machine learning are poised to influence the diagnosis and treatment.[3] It definitely requires a huge dataset for cardiovascular imaging, especially CT imaging, to incorporate AI technology to further enhance the management of CAD.