Association Between Body Mass Index (BMI) And Cardiac Chamber Size As Measured By A Novel Artificial Intelligence (AI) System On Cardiac Computed Tomography Angiography (CCTA) Images

Abstract

Introduction: Contrast-enhanced cardiac computed tomography (CCTA) with its ability to perform 3D, high spatial resolution acquisition on a range of anatomic structures, has been established as an integral tool in the assessment of cardiovascular disease. Attempts to quantify cardiac structures have been hampered by time-consuming, tedious manual segmentation methods. We examined the effect of body mass index (BMI) and on cardiac chamber size in a real-world referral population using a novel artificial intelligence system for fully automated CCTA image segmentation.