AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.
Journal:
Atherosclerosis
PMID:
39808995
Abstract
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of artificial intelligence-enabled multi-chamber cardiac volumetry from non-contrast CT for long-term risk stratification in asymptomatic subjects without known coronary artery disease.
Authors
Keywords
Aged
Artificial Intelligence
Asymptomatic Diseases
Coronary Angiography
Coronary Artery Disease
Deep Learning
Female
Heart Ventricles
Humans
Male
Middle Aged
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Risk Assessment
Tomography, X-Ray Computed
Vascular Calcification