4.7 Article

Validation of a quantitative magnetic resonance method for measuring human body composition

Journal

OBESITY
Volume 16, Issue 1, Pages 191-198

Publisher

WILEY
DOI: 10.1038/oby.2007.29

Keywords

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Funding

  1. Medical Research Council [G0001354B] Funding Source: researchfish
  2. MRC [MC_U105960396] Funding Source: UKRI
  3. Medical Research Council [MC_U105960396, G0001354] Funding Source: Medline

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Objective: To evaluate a novel quantitative magnetic resonance (QMR) methodology (EchoMRI-AH, Echo Medical Systems) for measurement of whole-body fat and lean mass in humans. Methods and Procedures: We have studied (i) the in vitro accuracy and precision by measuring 18 kg Canola oil with and without 9kg water (ii) the accuracy and precision of measures of simulated fat mass changes in human subjects (n = 10) and (iii) QMR fat and lean mass measurements compared to those obtained using the established 4-compartment (4-C) model method (n = 30). Results: (i) QMR represented 18kg of oil at 40 degrees C as 17.1 kg fat and 1 kg lean while at 30 degrees C 15.8kg fat and 4.7kg lean were reported. The s.d. of repeated estimates was 0.13 kg for fat and 0.23 kg for lean mass. Adding 9 kg of water reduced the fat estimates, increased misrepresentation of fat as lean, and degraded the precision. (ii) the simulated change in the fat mass of human volunteers was accurately represented, independently of added water. (iii) compared to the 4-C model, QMR underestimated fat and over-estimated lean mass. The extent of difference increased with body mass. The s.d. of repeated measurements increased with adiposity, from 0.25kg (fat) and 0.51 kg (lean) with BMI <25kg/m(2) to 0.43 kg and 0.81 kg respectively with BMI >30 kg/m(2). Discussion: EchoMRI-AH prototype showed shortcomings in absolute accuracy and specificity of fat mass measures, but detected. simulated body composition change accurately and with precision roughly three times better than current best measures. This methodology should reduce the study duration and cohort number needed to evaluate anti-obesity interventions.

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