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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 Earlier published studies of this method are summarized, and a previously unpublished validat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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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 Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA)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. |
format | Online Article Text |
id | pubmed-5992366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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