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Advanced body composition assessment: from body mass index to body composition profiling

This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validat...

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Autores principales: Borga, Magnus, West, Janne, Bell, Jimmy D, Harvey, Nicholas C, Romu, Thobias, Heymsfield, Steven B, Dahlqvist Leinhard, Olof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992366/
https://www.ncbi.nlm.nih.gov/pubmed/29581385
http://dx.doi.org/10.1136/jim-2018-000722
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author Borga, Magnus
West, Janne
Bell, Jimmy D
Harvey, Nicholas C
Romu, Thobias
Heymsfield, Steven B
Dahlqvist Leinhard, Olof
author_facet Borga, Magnus
West, Janne
Bell, Jimmy D
Harvey, Nicholas C
Romu, Thobias
Heymsfield, Steven B
Dahlqvist Leinhard, Olof
author_sort Borga, Magnus
collection PubMed
description This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment.
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spelling pubmed-59923662018-06-11 Advanced body composition assessment: from body mass index to body composition profiling Borga, Magnus West, Janne Bell, Jimmy D Harvey, Nicholas C Romu, Thobias Heymsfield, Steven B Dahlqvist Leinhard, Olof J Investig Med Review This paper gives a brief overview of common non-invasive techniques for body composition analysis and a more in-depth review of a body composition assessment method based on fat-referenced quantitative MRI. Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA) is presented. For whole-body measurements of adipose tissue (AT) or fat and lean tissue (LT), DXA and quantitative MRIs show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 and 4.6 per cent for fat (computed from AT) and LT, respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of >20 per cent. The additional ability of MRI to also measure muscle volumes, muscle AT infiltration and ectopic fat, in combination with rapid scanning protocols and efficient image analysis tools, makes quantitative MRI a powerful tool for advanced body composition assessment. BMJ Publishing Group 2018-06 2018-03-25 /pmc/articles/PMC5992366/ /pubmed/29581385 http://dx.doi.org/10.1136/jim-2018-000722 Text en © American Federation for Medical Research (unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Review
Borga, Magnus
West, Janne
Bell, Jimmy D
Harvey, Nicholas C
Romu, Thobias
Heymsfield, Steven B
Dahlqvist Leinhard, Olof
Advanced body composition assessment: from body mass index to body composition profiling
title Advanced body composition assessment: from body mass index to body composition profiling
title_full Advanced body composition assessment: from body mass index to body composition profiling
title_fullStr Advanced body composition assessment: from body mass index to body composition profiling
title_full_unstemmed Advanced body composition assessment: from body mass index to body composition profiling
title_short Advanced body composition assessment: from body mass index to body composition profiling
title_sort advanced body composition assessment: from body mass index to body composition profiling
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992366/
https://www.ncbi.nlm.nih.gov/pubmed/29581385
http://dx.doi.org/10.1136/jim-2018-000722
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