| Title: | Advanced body composition assessment: from body mass index to body composition profiling |
| Journal: | Journal of Investigative Medicine |
| Published: | 1 Jun 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29581385/ |
| DOI: | https://doi.org/10.1136/jim-2018-000722 |
| URL: | https://jim.bmj.com/content/jim/66/5/1.10.full.pdf |
| Citations: | 393 (148 in last 2 years) as of 8 Aug 2024 |
Publication 3667
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Abstract
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 Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA)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.7 Authors
- Magnus Borga
- Janne West
- Jimmy D Bell
- Nicholas C Harvey
- Thobias Romu
- Steven B Heymsfield
- Olof Dahlqvist Leinhard
1 Application
| Application ID | Title |
|---|---|
| 6569 | Organ specific fat measurements using MRI. A new quantitative imaging method with automated analysis. |
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