Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging.

ABSTRACT:

Background

To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed tomography myocardial perfusion imaging (SPECT-MPI).

Methods and results

Patients were enrolled in this study as part of a larger prospective study (NCT03637231). In this study, 56 Patients who underwent cardiac SPECT-MPI due to suspected coronary artery disease (CAD) were prospectively enrolled. All patients underwent non-contrast CT for AC of SPECT-MPI twice. CACS was manually assessed (serving as standard of reference) on both CT datasets (n = 112) and by a cloud-based DL tool. The agreement in CAC scores and CAC score risk categ

SUBMITTER: Sartoretti T 

PROVIDER: S-EPMC9984313 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature