articleObesity ResearchFeb 1, 2003Closed access

Epicardial Fat from Echocardiography: A New Method for Visceral Adipose Tissue Prediction

Sapienza University of Rome · Ospedale generale di zona San Camillo Treviso

PubMed
Indexed incrossrefpubmed

Abstract

Objective

To validate transthoracic echocardiography as an easy and reliable imaging method for visceral adipose tissue (VAT) prediction. VAT is recognized as an important indicator of high cardiovascular and metabolic risk. Several methods are applied to estimate VAT, with different results. RESEARCH METHODS AND PROCEDURES: We selected 60 healthy subjects (29 women, 31 men, 49.5 +/- 16.2 years) with a wide range of body mass indexes. Each subject underwent transthoracic echocardiogram and magnetic resonance imaging (MRI) to measure epicardial fat thickness on the right ventricle. Measurements of epicardial adipose tissue thickness were obtained from the same echocardiographic and MRI views and points. MRI was also used to measure VAT cross-sectional areas at the level of L4 to L5. Anthropometric indexes were also measured.

Results

Subjects with predominant visceral fat accumulation showed higher epicardial adipose tissue thickness than subjects with predominant peripheral fat distribution: 9.97 +/- 2.88 vs. 4.34 +/- 1.98 (p = 0.005) and 7.19 +/- 2.74 vs. 3.43 +/- 1.64 (p = 0.004) in men and women, respectively. Simple linear regression analysis showed an excellent correlation between epicardial adipose tissue and waist circumference (r = 0.895, p = 0.01) and MRI abdominal VAT (r = 0.864, p = 0.01). Multiple regression analysis showed that epicardial adipose tissue thickness (r(2) = 0.442, p = 0.02) was the strongest independent variable correlated to MRI VAT. Bland test confirmed the good agreement between the two methods.

Citation impact

774
total citations
FWCI
4.14
Percentile
100%
References
34
Citations per year

Authors

7

Topics & keywords

Keywords
  • Adipose tissue
  • Medicine
  • Waist
  • Magnetic resonance imaging
  • Intra-Abdominal Fat
  • Ventricle
  • Cardiology
  • Internal medicine
UN Sustainable Development Goals
  • Good health and well-being
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