Clinical Radiology
Volume 65, Issue 9 , Pages 695-700, September 2010

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

  • P.-H. Ducluzeau

      Affiliations

    • Department of endocrinology-Diabetology-Nutrition, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
    • These authors contribute equally to this work.
  • ,
  • P. Manchec-Poilblanc

      Affiliations

    • Department of Radiology, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
    • Corresponding Author InformationGuarantor and correspondent: P. Manchec-Poilblanc, Departement de Radiologie, CHU, 49933 Angers Cedex 09, France. Tel.: +33 514 775 1307.
    • These authors contribute equally to this work.
  • ,
  • V. Roullier

      Affiliations

    • Department of Radiology, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
    • LISA (Laboratoire d'Ingènierie des Systèmes Automatisés), Universitary Hospital of Angers, Faculty of Medicine of Angers, France
  • ,
  • E. Cesbron

      Affiliations

    • Department of digestive and liver disease, Universitary hospital of Angers, Faculty of Medicine of Angers, France
  • ,
  • J. Lebigot

      Affiliations

    • Department of Radiology, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
  • ,
  • S. Bertrais

      Affiliations

    • HIFIH Laboratory, UPRES EA 3859, IFR 132, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
  • ,
  • C. Aubé

      Affiliations

    • Department of Radiology, Universitary Hospital of Angers, Faculty of Medicine of Angers, France
    • HIFIH Laboratory, UPRES EA 3859, IFR 132, Universitary Hospital of Angers, Faculty of Medicine of Angers, France

Received 1 December 2009; received in revised form 27 February 2010; accepted 10 March 2010. published online 21 June 2010.

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/m2]. 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.

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PII: S0009-9260(10)00186-8

doi:10.1016/j.crad.2010.03.013

Clinical Radiology
Volume 65, Issue 9 , Pages 695-700, September 2010