Literature DB >> 20065974

QMR: validation of an infant and children body composition instrument using piglets against chemical analysis.

A Andres1, A D Mitchell, T M Badger.   

Abstract

OBJECTIVE: This study was undertaken to validate the first quantitative nuclear magnetic resonance (QMR) instrument designed and built to assess body composition in children from birth to adulthood (up to 50 kg).
DESIGN: A total of 50 pigs weighing between 3.0 and 49.1 kg were studied. Each piglet's body composition was assessed by quantitative nuclear magnetic resonance (QMR, EchoMRI-AH small), whole-body chemical carcass analysis for lipid and water content, and dual-energy X-ray absorptiometry (DXA, Hologic QDR 4500, using infant or adult whole-body scan acquisition programs where appropriate). Twenty-five piglets (3.1-47.2 kg) were randomly selected to calibrate the QMR instrument. The remaining 25 piglets (3.0-49.1 kg) were used to validate the instrument.
RESULTS: The precision of QMR to estimate fat mass (FM), fat-free mass (FFM) and total body water (TBW) for five consecutive scans was excellent (1.3, 0.9 and 0.9%, respectively). QMR measures of FM were highly and significantly correlated with chemical carcass analyses and DXA measures (r(2)=0.99 and r(2)=0.98, respectively). QMR and DXA FFM results were highly correlated (R(2)=0.99, P<0.01). TBW measures were strongly correlated between QMR and carcass analyses (R(2)=0.99, P<0.01). QMR overestimated FM by 2% and DXA measures (using the infant and adult scan programs) overestimated FM by 15% on average.
CONCLUSION: QMR provides precise and accurate measures of FM, FFM and TBW in piglets weighing up to 50 kg. As the piglet is considered to be an excellent model of human development, these data suggest that QMR should provide the opportunity to acquire valuable body composition data in longitudinal studies in children, which is not possible or practical with other commercially available instrumentation.

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Mesh:

Year:  2010        PMID: 20065974     DOI: 10.1038/ijo.2009.284

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  8 in total

1.  Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP.

Authors:  Melissa E Heard-Lipsmeyer; Holly Hull; Clark R Sims; Mario A Cleves; Aline Andres
Journal:  Pediatr Obes       Date:  2020-01-27       Impact factor: 4.000

2.  Body composition by DXA.

Authors:  John A Shepherd; Bennett K Ng; Markus J Sommer; Steven B Heymsfield
Journal:  Bone       Date:  2017-06-16       Impact factor: 4.398

3.  Advances in the science and application of body composition measurement.

Authors:  Vickie Baracos; Paolo Caserotti; Carrie P Earthman; David Fields; Dympna Gallagher; Kevin D Hall; Steven B Heymsfield; Manfred J Müller; Antonella Napolitano Rosen; Claude Pichard; Leanne M Redman; Wei Shen; John A Shepherd; Diana Thomas
Journal:  JPEN J Parenter Enteral Nutr       Date:  2012-01       Impact factor: 4.016

4.  Calibration and validation of EchoMRI™ whole body composition analysis based on chemical analysis of piglets, in comparison with the same for DXA.

Authors:  Israel Kovner; Gersh Z Taicher; Alva D Mitchell
Journal:  Int J Body Compos Res       Date:  2010-03-01

5.  In Vivo Determination of Body Composition in Zebrafish (Danio rerio) by Quantitative Magnetic Resonance.

Authors:  L Adele Fowler; Lacey N Dennis; R Jeff Barry; Mickie L Powell; Stephen A Watts; Daniel L Smith
Journal:  Zebrafish       Date:  2016-03-14       Impact factor: 1.985

Review 6.  Body composition during fetal development and infancy through the age of 5 years.

Authors:  T Toro-Ramos; C Paley; F X Pi-Sunyer; D Gallagher
Journal:  Eur J Clin Nutr       Date:  2015-08-05       Impact factor: 4.016

Review 7.  Body Composition Measurements from Birth through 5 Years: Challenges, Gaps, and Existing & Emerging Technologies-A National Institutes of Health workshop.

Authors:  Dympna Gallagher; Aline Andres; David A Fields; William J Evans; Robert Kuczmarski; William L Lowe; Julie C Lumeng; Emily Oken; John A Shepherd; Shumei Sun; Steven B Heymsfield
Journal:  Obes Rev       Date:  2020-04-20       Impact factor: 9.213

8.  Reliability of the EchoMRI Infants System for Water and Fat Measurements in Newborns.

Authors:  Tatiana Toro-Ramos; Charles Paley; William W Wong; F Xavier Pi-Sunyer; Wen W Yu; John Thornton; Dympna Gallagher
Journal:  Obesity (Silver Spring)       Date:  2017-07-16       Impact factor: 5.002

  8 in total

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