Risk Evaluation by Coronary Imaging and Artificial Intelligence-Based Functional Analyzing Techniques: Integrated Plaque Analysis by Coronary CT Angiography and Intracoronary Imaging.
This is a single-center, prospective cohort study. This study is designed to accurately analyze coronary artery plaque characteristics and local hemodynamic parameters in patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions or obstructive lesions in major coronary arteries by multimodality imaging including noninvasive coronary CT angiography (CCTA) and intracoronary imaging techniques, such as intravascular ultrasound (IVUS), optical coherence tomography (OCT), and near infrared spectroscopy (NIRS). The purpose of this study is to improve the accuracy and depth of plaque analysis by CCTA under the guidance of intracoronary imaging, therefore constructing a new CCTA-based high-risk plaque model.
• Age ≥ 18 years
• Patients with CCS or NSTE-ACS
• Receive CCTA scan, with marginal lesions (DS between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR \<0.8) in major coronary arteries
• Receive invasive coronary angiography and intracoronary imaging examination, including IVUS, OCT, NIRS, within 1 month after CCTA