Literature DB >> 17921370

Estimation of thigh muscle cross-sectional area by dual-energy X-ray absorptiometry in frail elderly patients.

Ross D Hansen1, Dominique A Williamson, Terence P Finnegan, Brad D Lloyd, Jodie N Grady, Terrence H Diamond, Emma Ur Smith, Theodora M Stavrinos, Martin W Thompson, Tom H Gwinn, Barry J Allen, Peter I Smerdely, Ashish D Diwan, Nalin A Singh, Maria A Fiatarone Singh.   

Abstract

BACKGROUND: Thigh muscle mass and cross-sectional area (CSA) are useful indexes of sarcopenia and the response to treatment in older patients. Current criterion methods are computed tomography (CT) and magnetic resonance imaging.
OBJECTIVE: The objective was to compare thigh muscle mass estimated by dual-energy X-ray absorptiometry (DXA), a less expensive and more accessible method, with thigh muscle CSA determined by CT in a group of elderly patients recovering from hip fracture.
DESIGN: Midthigh muscle CSA (in cm(2)) was assessed from a 1-mm CT slice and midthigh muscle mass (g) from a 1.3-cm DXA slice in 30 patients (24 women) aged 81 +/- 8 y during 12 mo of follow-up. Fat-to-lean soft tissue ratios were calculated with each technique to permit direct comparison of a variable in the same units.
RESULTS: Baseline midthigh muscle CSA was highly correlated with midthigh muscle mass (r = 0.86, P < 0.001) such that DXA predicted CT-determined CSA with an SEE of 10 cm(2) (an error of approximately 12% of the mean CSA value). CT- and DXA-determined ratios of midthigh fat to lean mass were similarly related (intraclass correlation coefficient = 0.87, P < 0.001). When data were expressed as the changes from baseline to follow-up, CT and DXA changes were weakly correlated (intraclass correlation coefficient = 0.51, P = 0.019).
CONCLUSIONS: Assessment of sarcopenia by DXA midthigh slice is a potential low-radiation, accessible alternative to CT scanning of older patients. The errors inherent in this technique indicate, however, that it should be applied to groups of patients rather than to individuals or to evaluate the response to interventions.

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Year:  2007        PMID: 17921370     DOI: 10.1093/ajcn/86.4.952

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


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