PLoS ONE (Jan 2017)

Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis.

  • Juliana Cristina Eloi,
  • Matias Epifanio,
  • Marília Maia de Gonçalves,
  • Augusto Pellicioli,
  • Patricia Froelich Giora Vieira,
  • Henrique Bregolin Dias,
  • Neide Bruscato,
  • Ricardo Bernardi Soder,
  • João Carlos Batista Santana,
  • Marialena Mouzaki,
  • Matteo Baldisserotto

DOI
https://doi.org/10.1371/journal.pone.0167625
Journal volume & issue
Vol. 12, no. 1
p. e0167625

Abstract

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BACKGROUND AND AIMSComputed tomography, which uses ionizing radiation and expensive software packages for analysis of scans, can be used to quantify abdominal fat. The objective of this study is to measure abdominal fat with 3T MRI using free software for image analysis and to correlate these findings with anthropometric and laboratory parameters in adolescents.METHODSThis prospective observational study included 24 overweight/obese and 33 healthy adolescents (mean age 16.55 years). All participants underwent abdominal MRI exams. Visceral and subcutaneous fat area and percentage were correlated with anthropometric parameters, lipid profile, glucose metabolism, and insulin resistance. Student's t test and Mann-Whitney's test was applied. Pearson's chi-square test was used to compare proportions. To determine associations Pearson's linear correlation or Spearman's correlation were used.RESULTSIn both groups, waist circumference (WC) was associated with visceral fat area (P = 0.001 and P = 0.01 respectively), and triglycerides were associated with fat percentage (P = 0.046 and P = 0.071 respectively). In obese individuals, total cholesterol/HDL ratio was associated with visceral fat area (P = 0.03) and percentage (P = 0.09), and insulin and HOMA-IR were associated with visceral fat area (P = 0.001) and percentage (P = 0.005).CONCLUSIONS3T MRI can provide reliable and good quality images for quantification of visceral and subcutaneous fat by using a free software package. The results demonstrate that WC is a good predictor of visceral fat in obese adolescents and visceral fat area is associated with total cholesterol/HDL ratio, insulin and HOMA-IR.