1. Advanced body composition assessment: from body mass index to body composition profiling
- Author
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Nicholas C. Harvey, Thobias Romu, Steven B. Heymsfield, Olof Dahlqvist Leinhard, Magnus Borga, Janne West, and Jimmy D. Bell
- Subjects
Adipose tissue ,Review ,Research & Experimental Medicine ,030218 nuclear medicine & medical imaging ,Body Mass Index ,Body-composition-analysis ,0302 clinical medicine ,Medicine ,magnetic resonance imaging ,General Clinical Medicine ,METABOLIC SYNDROME ,Adiposity ,medicine.diagnostic_test ,Medicinsk bildbehandling ,X-RAY ABSORPTIOMETRY ,General Medicine ,3T MR SYSTEM ,Medicine, Research & Experimental ,Adipose Tissue ,VISCERAL FAT ,Assessment methods ,TEST-RETEST RELIABILITY ,SUBCUTANEOUS ADIPOSE-TISSUE ,Life Sciences & Biomedicine ,MRI ,Radiology, Nuclear Medicine and Medical Imaging ,WHOLE-BODY ,DENSITY FAT-FRACTION ,UK Biobank ,Validation study ,Coefficient of variation ,MUSCLE VOLUME ,030209 endocrinology & metabolism ,Composition analysis ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Medicine, General & Internal ,General & Internal Medicine ,Humans ,NORMAL-WEIGHT ,body composition ,Science & Technology ,business.industry ,1103 Clinical Sciences ,Magnetic resonance imaging ,Medical Image Processing ,Radiologi och bildbehandling ,Analysis tools ,business ,Nuclear medicine ,Body mass index - 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 magnetic resonance imaging (MRI). Earlier published studies of this method are summarized, and a previously un-published validation study, based on 4.753 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 MRI show excellent agreement with linear correlation of 0.99 and 0.97, and coefficient of variation (CV) of 4.5 % and 4.6 % for fat (computed from AT) and lean tissue respectively, but the agreement was found significantly lower for visceral adipose tissue, with a CV of more than 20 %. 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 make quantitative MRI a powerful tool for advanced body composition assessment.
- Published
- 2018