Literature DB >> 8774226

Dual-energy X-ray absorptiometry for the measurement of gross body composition in rats.

S A Jebb1, S W Garland, G Jennings, M Elia.   

Abstract

Dual-energy X-ray absorptiometry (DXA) is a novel, non-invasive technique for the measurement of gross body composition in small animals. In the present study the absolute accuracy of the Hologic QDR-1000W scanner was assessed by comparison with direct analysis in twelve rats with a range of body fat and bone mineral content (BMC) values. Fat masses measured by DXA and petroleum-ether extraction were significantly different (P < 0.0023). The DXA technique consistently overestimated fat mass by approximately one third of the measured fat content. BMC derived from the measurement of Ca in ash gave a mean of 8.26 (range 1.57-15.71)g. BMC measured by DXA was not significantly different for the group as a whole. However, there was a trend for DXA to overestimate BMC in animals with low BMC and underestimate in those with higher BMC, compared with direct analysis, such that the 95% limits of agreement for the two techniques were +2.73 to -2.58 g. These results suggest that the present small-animal software developed for use with currently available Hologic machines does not give an accurate measure of gross body composition compared with the results from classical direct analysis.

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Year:  1996        PMID: 8774226     DOI: 10.1079/bjn19960187

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  3 in total

1.  Chemical versus dual energy x-ray absorptiometry for detecting age-associated body compositional changes in male rats.

Authors:  R S Feely; L M Larkin; J B Halter; D R Dengel
Journal:  Exp Gerontol       Date:  2000-05       Impact factor: 4.032

2.  Validation of quantitative magnetic resonance (QMR) for determination of body composition in rats.

Authors:  M S Johnson; D L Smith; T R Nagy
Journal:  Int J Body Compos Res       Date:  2009-09

3.  Measurement of Body and Liver Fat in Small Animals Using Peripheral Quantitative Computed Tomography.

Authors:  Tim R Nagy; Maria S Johnson
Journal:  Int J Body Compos Res       Date:  2004-01-01
  3 in total

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