Skip to content


Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Poster presentation
  • Open Access

Epicardial adipose tissue evaluated with cardiac magnetic resonance in normal subject and in patients with ischemic and dilated cardiomyopathies

  • 1,
  • 1,
  • 1,
  • 1,
  • 1,
  • 1 and
  • 1
Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :P89

  • Published:


  • Public Health
  • Standard Deviation
  • Coronary Artery Disease
  • Cardiovascular Disease
  • Adipose Tissue


Epicardial adipose tissue (EAT) is considered a marker of cardiovascular disease because of its pro-inflammatory properties. The aim was to find differences of amount of EAT in three groups of patients evaluated with cardiac magnetic resonance (CMR): 1) negative CMR; 2) patients with coronary artery disease (CAD); 3) patients with dilated cardiomyopathy (DCM).


We retrospectively evaluated 150 patients who underwent CMR (1.5 T, Siemens) in a time span of 22 months: 50 negative (mean age ± standard deviation 47 ± 12.2 years), 50 with CAD (65 ± 9.7 years) and 50 with DCM (56 ± 12.8 years). For each patient we segmented manually the EAT in short-axis cine images at end-diastolic phase with Syngo-Argus software. Volume of EAT was converted into g (g=0.9196*volume). Intra and inter-reader reproducibility in a sub-group of 30 randomly selected patients (10 negative, 10 with CAD, 10 with DCM) was tested. Mann Whitney U and Bland-Altman test were used.


Mean EAT in negative, CAD and DCM patients was 18.17 ± 10 mL, 35.07 ± 8 mL and 29.76 ± 13 mL respectively. A significant correlation was found comparing negative patients vs CAD (p < 0.001) and DCM (p < 0.001). No correlation was found comparing CAD vs DCM (p = 0.890). Overall intra and inter-reader reproducibility was up to 83% and 76%, respectively.


A significant difference of EAT amount between patients with CAD or DCM and negative patients was shown, adding more evidence to a correlation between EAT and the presence/absence ischemic or dilated cardiomyopathies.

Authors’ Affiliations

Radiology, IRCCS Policlinico San Donato, Milan, Italy


© Secchi et al. 2016

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.