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

Journal of investigative medicine : the official publication of the American Federation for Clinical Research | 2018

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 Earlier published studies of this method are summarized, and a previously unpublished validation study, based on 4753 subjects from the UK Biobank imaging cohort, comparing the quantitative MRI method with dual-energy X-ray absorptiometry (DXA)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.

Pubmed ID: 29581385 RIS Download

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Associated grants

  • Agency: Versus Arthritis, United Kingdom
    Id: 17702
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U147585827
  • Agency: Versus Arthritis, United Kingdom
    Id: 21231
  • Agency: Medical Research Council, United Kingdom
    Id: MC_QA137853
  • Agency: Arthritis Research UK, United Kingdom
    Id: 21231
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U147585819
  • Agency: Arthritis Research UK, United Kingdom
    Id: 17702
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UP_A620_1014
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12011/1
  • Agency: Medical Research Council, United Kingdom
    Id: G0400491
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U147585824
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_17228
  • Agency: Department of Health, United Kingdom
    Id: HTA/10/33/04

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UK Biobank (tool)

RRID:SCR_012815

Biobank provides data collected at Assessment Center and via online questionnaires on participants aged 40-69 years recruited throughout United Kingdom and provides summary information to improve prevention, diagnosis and treatment of serious and life threatening illnesses.

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