Distribution of abdominal adipose tissue as a predictor of hepatic steatosis assessed by MRI

Clin Radiol. 2010 Sep;65(9):695-700. doi: 10.1016/j.crad.2010.03.013. Epub 2010 Jun 19.

Abstract

Aim: To evaluate the relationship between the distribution of visceral and subcutaneous adipose tissue and hepatic steatosis assessed using magnetic resonance imaging (MRI).

Materials and methods: One T1-weighted, in-/out-of-phase, single-section sequence at the L3/L4 level and one multi-echo gradient MRI (MGRE) sequence were performed on 65 patients [19 females and 46 males; age 57+/-9.5 years; body mass index (BMI) 31+/-5.1kg/m(2)]. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) surfaces, and hepatic steatosis were automatically calculated using in-house software. Weight, height, BMI, waist circumference, hip circumference, and waist:hip ratio were recorded. The probability of having a steatosis greater than 10% on MRI was evaluated by receiver operating characteristic (ROC) curves.

Results: The anthropometric parameter best correlated to hepatic steatosis was the waist-to-hip ratio (r=0.301). VAT and proportion of VAT were correlated to liver fat content (r=0.307 and r=0.249, respectively). No significant correlations were found for BMI, hip circumference, and SAT. The area under the receiver operating characteristics (AUROCs) for the relationship between liver steatosis and BMI, waist circumference, waist:hip ratio, VAT surface, and proportion of VAT, were respectively 0.52, 0.63, 0.71, 0.73 and 0.75.

Conclusion: Adipose tissue distribution is more relevant than total fat mass when assessing the possibility of liver steatosis in overweight patients.

MeSH terms

  • Abdominal Fat / pathology*
  • Anthropometry / methods
  • Body Fat Distribution
  • Fatty Liver / diagnosis*
  • Fatty Liver / etiology
  • Fatty Liver / physiopathology
  • Female
  • Humans
  • Intra-Abdominal Fat / pathology
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Obesity / complications
  • Obesity / diagnosis*
  • Obesity / physiopathology
  • Probability
  • Risk Factors
  • Waist-Hip Ratio