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

BACKGROUND AND AIMS: Computed 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 find...

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Autores principales: Eloi, Juliana Cristina, Epifanio, Matias, de Gonçalves, Marília Maia, Pellicioli, Augusto, Vieira, Patricia Froelich Giora, Dias, Henrique Bregolin, Bruscato, Neide, Soder, Ricardo Bernardi, Santana, João Carlos Batista, Mouzaki, Marialena, Baldisserotto, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271344/
https://www.ncbi.nlm.nih.gov/pubmed/28129354
http://dx.doi.org/10.1371/journal.pone.0167625
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author Eloi, Juliana Cristina
Epifanio, Matias
de Gonçalves, Marília Maia
Pellicioli, Augusto
Vieira, Patricia Froelich Giora
Dias, Henrique Bregolin
Bruscato, Neide
Soder, Ricardo Bernardi
Santana, João Carlos Batista
Mouzaki, Marialena
Baldisserotto, Matteo
author_facet Eloi, Juliana Cristina
Epifanio, Matias
de Gonçalves, Marília Maia
Pellicioli, Augusto
Vieira, Patricia Froelich Giora
Dias, Henrique Bregolin
Bruscato, Neide
Soder, Ricardo Bernardi
Santana, João Carlos Batista
Mouzaki, Marialena
Baldisserotto, Matteo
author_sort Eloi, Juliana Cristina
collection PubMed
description BACKGROUND AND AIMS: Computed 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. METHODS: This 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. RESULTS: In 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). CONCLUSIONS: 3T 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.
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spelling pubmed-52713442017-02-06 Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis Eloi, Juliana Cristina Epifanio, Matias de Gonçalves, Marília Maia Pellicioli, Augusto Vieira, Patricia Froelich Giora Dias, Henrique Bregolin Bruscato, Neide Soder, Ricardo Bernardi Santana, João Carlos Batista Mouzaki, Marialena Baldisserotto, Matteo PLoS One Research Article BACKGROUND AND AIMS: Computed 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. METHODS: This 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. RESULTS: In 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). CONCLUSIONS: 3T 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. Public Library of Science 2017-01-27 /pmc/articles/PMC5271344/ /pubmed/28129354 http://dx.doi.org/10.1371/journal.pone.0167625 Text en © 2017 Eloi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eloi, Juliana Cristina
Epifanio, Matias
de Gonçalves, Marília Maia
Pellicioli, Augusto
Vieira, Patricia Froelich Giora
Dias, Henrique Bregolin
Bruscato, Neide
Soder, Ricardo Bernardi
Santana, João Carlos Batista
Mouzaki, Marialena
Baldisserotto, Matteo
Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title_full Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title_fullStr Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title_full_unstemmed Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title_short Quantification of Abdominal Fat in Obese and Healthy Adolescents Using 3 Tesla Magnetic Resonance Imaging and Free Software for Image Analysis
title_sort quantification of abdominal fat in obese and healthy adolescents using 3 tesla magnetic resonance imaging and free software for image analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271344/
https://www.ncbi.nlm.nih.gov/pubmed/28129354
http://dx.doi.org/10.1371/journal.pone.0167625
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