Nagayama Y, et al. - In this investigation, researchers ascertained if epicardial fat volume (EFV) measured on ECG-nongated noncontrast CT (nongated-NCCT) can reliably predict coronary artery disease (CAD). For this analysis, 117 patients had coronary CT angiography (CCTA) and nongated-NCCT during a single session due to symptoms suggestive of CAD. Using Pearson’s correlation coefficient and Bland-Altman plots, the association between CCTA-EFV and nongated-NCCT-EFV was evaluated. Using multivariate logistic regression, the connection between EFV and CAD was analyzed. The EFV on NCCT delivers nearly perfect inter-observer reproducibility in spite of the absence of ECG gating, and shows outstanding association with measurements on gated CCTA. With accuracy comparable to EFV on gated CCTA, EFV on nongated-NCCT might be an independent biomarker that can predict coronary artery disease.