Quantification of epicardial fat volume using cardiovascular magnetic resonance imaging

Background A growing body of data has demonstrated a direct relationship between epicardial fat volume(EFV) and cardiovascular diseases. In fact, EFV has been shown to be an independent predictor of coronary atherosclerosis and atrial fibrillation. Currently, there is no standard protocol for assessing EFV using cardiac magnetic resonance imaging (CMR). Quantification of peri-ventricular EFV utilizing end diastolic short-axis cine sequences has been described; however, this technique is often challenging due to inadequate visualization of the pericardium. Oftentimes, the pericardium is better visualized during the systolic phase. Thus, we sought to determine the correlation and reproducibility of conventional EFV quantification using end diastolic with end systolic short-axis slices.