AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.
Journal:
JACC. Cardiovascular imaging
PMID:
38456877
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.
Authors
Keywords
Aged
Artificial Intelligence
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Coronary Circulation
Coronary Vessels
Female
Humans
Male
Middle Aged
Myocardial Perfusion Imaging
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Retrospective Studies
Risk Assessment
Risk Factors
Single Photon Emission Computed Tomography Computed Tomography
Time Factors
Vascular Calcification