AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

ABSTRACT:

Background

Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery calcium (CAC) from CTAC to improve risk prediction but could potentially derive additional anatomic features.

Objectives

The authors evaluated AI-based derivation of cardiac anatomy from CTAC and assessed its added prognostic utility.

Methods

The authors considered consecutive patients without known coronary artery disease who underwent single-photon emission computed tomography/computed tomography (CT) myocardial perfusion imaging at 3 separate centers. Previously validated AI models were used to segment CAC and cardiac struc

SUBMITTER: Miller RJH 

PROVIDER: S-EPMC11222053 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature