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Advanced body composition assessment: From body mass index to body composition profiling

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  • Additional Information
    • Publication Information:
      Linköpings universitet, Avdelningen för medicinsk teknik
      Linköpings universitet, Tekniska fakulteten
      Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV
      Linköpings universitet, Avdelningen för radiologiska vetenskaper
      Linköpings universitet, Medicinska fakulteten
      Linköpings universitet, Institutionen för medicinsk teknik
      Region Östergötland, Radiofysikavdelningen US
      Westminster University, London, UK
      University of Southampton, UK
      Pennington Biomedical Research Center, Baton Rouge, LA, US
      Advanced MR Analytics AB, Linköping, Sweden
    • Publication Date:
      2018
    • Collection:
      Linköping University Electronic Press (LiU E-Press)
    • 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.
    • File Description:
      application/pdf
    • Relation:
      Journal of Investigative Medicine, 1081-5589, 2018, 66:5, s. 887-895; PMID 29581385; ISI:000435456400001
    • Accession Number:
      10.1136/jim-2018-000722
    • Online Access:
      http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145624
      https://doi.org/10.1136/jim-2018-000722
    • Rights:
      info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.7D934846