title: [Quantification of visceral adipose tissue using magnetic resonance imaging compared with anthropometry, in type 2 diabetic patients].
abstract: BACKGROUND
  Visceral fat accumulation is associated with the development of metabolic diseases. Anthropometry is one of the methods used to quantify it.
  
  
  OBJECTIVE
  to evaluate the relationship between visceral adipose tissue volume (VAT), measured with magnetic resonance imaging (MRI), and anthropometric indexes, such as body mass index (BMI) and waist circumference (WC), in type 2 diabetic patients (DM2).
  
  
  METHODS
  Twenty four type 2 diabetic patients aged 55 to 78 years (15 females) and weighting 61.5 to 97 kg, were included. The patients underwent MRI examination on a Philips Intera® 1.5T MR scanner. The MRI protocol included a spectral excitation sequence centered at the fat peak. The field of view included from L4-L5 to the diaphragmatic border. VAT was measured using the software Image J®. Weight, height, BMI, WC and body fat percentage (BF%), derived from the measurement of four skinfolds with the equation of Durnin and Womersley, were also measured. The association between MRIVAT measurement and anthropometry was evaluated using the Pearson's correlation coefficient.
  
  
  RESULTS
  Mean VAT was 2478 ± 758 ml, mean BMI29.5 ± 4.7 kg/m², and mean WC was 100 ± 9.7 cm. There was a poor correlation between VAT, BMI (r = 0.18) and WC (r = 0.56).
  
  
  CONCLUSIONS
  BMI and WC are inaccurate predictors of VAT volume in type 2 diabetic patients.
authors.affiliation: Centro de Imágenes Biomédicas, Pontificia Universidad Católica de Chile, Chile.
authors.forename: Cristóbal
authors.initials: C
authors.lastname: Serrano García
authors.forename: Francisco
authors.initials: F
authors.lastname: Barrera
authors.forename: Pilar
authors.initials: P
authors.lastname: Labbé
authors.forename: Jessica
authors.initials: J
authors.lastname: Liberona
authors.forename: Marco
authors.initials: M
authors.lastname: Arrese
authors.forename: Pablo
authors.initials: P
authors.lastname: Irarrázabal
authors.forename: Cristián
authors.initials: C
authors.lastname: Tejos
authors.forename: Sergio
authors.initials: S
authors.lastname: Uribe
mesh_terms: D000368:Aged; D000886:Anthropometry; D003924:Diabetes Mellitus, Type 2 / Q000473:pathology*; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012984:Software; D018709:Statistics, Nonparametric; D055105:Waist Circumference