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Advanced body compo...
Advanced body composition assessment: From body mass index to body composition profiling
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- Borga, Magnus, 1965- (author)
- Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- West, Janne, 1982- (author)
- Linköpings universitet,Avdelningen för radiologiska vetenskaper,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten
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- Bell, Jimmy (author)
- Westminster University, London, UK
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- Harvey, Nicholas (author)
- University of Southampton, UK
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- Romu, Thobias, 1984- (author)
- Linköpings universitet,Institutionen för medicinsk teknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Heymsfield, Steven (author)
- Pennington Biomedical Research Center, Baton Rouge, LA, US
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- Dahlqvist Leinhard, Olof, 1978- (author)
- Linköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Radiofysikavdelningen US,Advanced MR Analytics AB, Linköping, Sweden
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(creator_code:org_t)
- 2023-01-05
- 2018
- English.
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In: Journal of Investigative Medicine. - : BMJ Publishing Group Ltd. - 1081-5589 .- 1708-8267. ; 66:5, s. 887-895
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- Body-composition-analysis
- MRI
- UK Biobank
Publication and Content Type
- ref (subject category)
- for (subject category)
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