title: Correlation between anthropometric parameters and abdominal fat volumes assessed by a magnetic resonance imaging method in patients with diabetes.
abstract: BACKGROUND
  Anthropometric measurements such as body mass index (BMI), waist-to-hip ratio, or waist circumference are used in clinical settings as a rough estimation of abdominal fat volumes. In contrast, abdominal magnetic resonance imaging (MRI) allows a precise and noninvasive imaging modality to measure the whole abdominal fat volumes. The main difference between the two methods is that only MRI provides detailed anatomical information about fat distribution in terms of a three-dimensional volumetric model. The aim of this study was to evaluate the relationship between selected anthropometric parameters and MRI-estimated abdominal fat volumes in patients with diabetes.
  
  
  METHODS
  Total fat volume coverage of the abdomen was obtained in a total of 37 patients with diabetes (mean +/- SD age, 48 +/- 13 years) with a BMI of 27.9 +/- 3.6 kg/m2 and a waist-to-hip ratio of 0.94 +/- 0.01 using T1-weighted magnetic resonance images. Quantification of intraabdominal, subcutaneous, and total abdominal fat volumes was performed using a semiautomated computer-assisted analysis of the images. Anthropometric parameters (height, weight, BMI, circumference hip, waist circumference, and waist-to-hip ratio) of all patients and abdominal fat volumes estimated by the MRI method proposed were correlated.
  
  
  RESULTS
  The volumes estimated were as follows: intraabdominal fat, 10.5 +/- 5.0 L; subcutaneous fat, 15.2 +/- 7.3 L; and total abdominal fat, 25.7 +/- 11.5 L. The correlation coefficients between BMI and the three different fat volumes were, respectively, r = 0.38, r = 0.31, and r = 0.36. For the waist-to-hip ratio the respective correlation coefficients were r = 0.46, r = 0.14, and r = 0.29.
  
  
  CONCLUSIONS
  Correlation in patients with diabetes of abdominal fat volumes estimated with a reliable MRI method with conventionally applied anthropometric parameters revealed poor correlation coefficients. In contrast, the fat volume determination by means of the novel MRI analysis method is rapid and reliable. Therefore, this method has the potential to be of high value in studies in patients with diabetes.
authors.affiliation: Institute of Diagnostic Radiology, University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany. polll@uni-duesseldorf.de
authors.forename: LudgerWilhelm
authors.initials: L
authors.lastname: Poll
authors.forename: Hans-Jörg
authors.initials: HJ
authors.lastname: Wittsack
authors.forename: Reinhart
authors.initials: R
authors.lastname: Willers
authors.forename: Ulrich
authors.initials: U
authors.lastname: Mödder
authors.forename: Lutz
authors.initials: L
authors.lastname: Heinemann
authors.forename: Christoph
authors.initials: C
authors.lastname: Kapitza
authors.forename: Klaus
authors.initials: K
authors.lastname: Rave
mesh_terms: D000005:Abdomen; D000273:Adipose Tissue / Q000033:anatomy & histology*; D000328:Adult; D001827:Body Height; D015992:Body Mass Index; D049628:Body Size; D001835:Body Weight; D003922:Diabetes Mellitus, Type 1 / Q000473:pathology*; D003924:Diabetes Mellitus, Type 2 / Q000473:pathology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged