Association between increased epicardial adipose tissue volume and coronary plaque composition

Heart Vessels. 2014 Sep;29(5):569-77. doi: 10.1007/s00380-013-0398-y. Epub 2013 Aug 28.

Abstract

To assess the relationship between epicardial adipose tissue volume (EATV) and plaque vulnerability in significant coronary stenosis using a 40-MHz intravascular ultrasound (IVUS) imaging system (iMap-IVUS), we analyzed 130 consecutive patients with coronary stenosis who underwent dual-source computed tomography (CT) and cardiac catheterization. Culprit lesions were imaged by iMap-IVUS before stenting. The iMAP-IVUS system classified coronary plaque components as fibrous, lipid, necrotic, or calcified tissue, based on the radiofrequency spectrum. Epicardial adipose tissue was measured as the tissue ranging from -190 to -30 Hounsfield units. EATV, calculated as the sum of the fat areas on short-axis images, was 85.0 ± 34.0 cm(3). There was a positive correlation between EATV and the percentage of necrotic plaque tissue (R (2) = 0.34, P < 0.01), while there was a negative correlation between EATV and the percentage of fibrous tissue (R (2) = 0.24, P < 0.01). Multivariate analysis revealed that an increased low-density lipoprotein cholesterol level (β = 0.15, P = 0.03) and EATV (β = 0.14, P = 0.02) were independently associated with the percentage of necrotic plaque tissue. An increase in EATV was associated with the development of coronary atherosclerosis and, potentially, with the most dangerous type of plaque.

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Aged
  • Biomarkers / blood
  • Chi-Square Distribution
  • Cholesterol, LDL / blood
  • Coronary Angiography / methods
  • Coronary Artery Disease / blood
  • Coronary Artery Disease / diagnostic imaging*
  • Coronary Artery Disease / therapy
  • Coronary Stenosis / blood
  • Coronary Stenosis / diagnostic imaging*
  • Coronary Stenosis / therapy
  • Coronary Vessels / diagnostic imaging*
  • Female
  • Fibrosis
  • Humans
  • Image Interpretation, Computer-Assisted
  • Linear Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Necrosis
  • Percutaneous Coronary Intervention / instrumentation
  • Pericardium / diagnostic imaging*
  • Plaque, Atherosclerotic*
  • Predictive Value of Tests
  • Stents
  • Tomography, X-Ray Computed
  • Ultrasonography, Interventional*
  • Vascular Calcification / diagnostic imaging

Substances

  • Biomarkers
  • Cholesterol, LDL