Automated AI CCTA Plaque Assessment Correlates With IVUS

Background: Coronary CT angiography (CCTA) is highly accurate for detection of coronary stenosis and is the preferred test for symptomatic patients with suspected coronary artery disease. CCTA identifies presence, extent, and composition of atherosclerotic plaque. Automated tools to quantify plaque volume from CCTA have been developed using advances in artificial intelligence (AI), deep learning, and CCTA imaging. These tools must be validated using accepted standards such as intravascular ultrasound (IVUS) prior to clinical use. Objective: To evaluate the performance of a CCTA AI-enabled tool Quantitative Coronary Plaque Analysis (AI-QCPA; HeartFlow ® ) to quantify plaque volume, using IVUS as the gold standard. Design: Retrospective sub-analysis of a single-center prospective registry study. Methods: This study evaluated patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention of the culprit vessel. Participants with >50% stenosis more...