Muscle strength and soft tissue composition as measured by dual energy x-ray absorptiometry in women aged 18?87 years

1997 ◽  
Vol 76 (2) ◽  
pp. 195-195 ◽  
Author(s):  
Ole Rintek Madsen ◽  
Ulrik Birk Lauridsen ◽  
Andreas Hartkopp ◽  
Ole Helmer S�rensen
Keyword(s):  
Soft Tissue ◽  
Muscle Strength ◽  
Dual Energy ◽  
Tissue Composition ◽  
Soft Tissue Composition ◽  
X Ray

Muscle strength and soft tissue composition as measured by dual energy x-ray absorptiometry in women aged 18?87 years

1997 ◽  
Vol 75 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Ole Rintek Madsen ◽  
Ulrik Birk Lauridsen ◽  
Andreas Hartkopp ◽  
Ole Helmer S�rensen
Keyword(s):  
Soft Tissue ◽  
Muscle Strength ◽  
Dual Energy ◽  
Tissue Composition ◽  
Soft Tissue Composition ◽  
X Ray

Dual-energy X-ray absorptiometry: fat estimation errors due to variation in soft tissue hydration

1998 ◽  
Vol 274 (5) ◽  
pp. E808-E816 ◽  
Author(s):  
Angelo Pietrobelli ◽  
Zimian Wang ◽  
Carmelo Formica ◽  
Steven B. Heymsfield
Keyword(s):  
Soft Tissue ◽  
Dual Energy ◽  
Elemental Content ◽  
Composition Analysis ◽  
Tissue Composition ◽  
Soft Tissue Composition ◽  
X Ray ◽  
Tissue Hydration ◽  
Photon Attenuation ◽  
Hydration Model

Dual-energy X-ray absorptiometry (DXA) is rapidly gaining acceptance as a reference method for analyzing body composition. An important and unresolved concern is whether and to what extent variation in soft tissue hydration causes errors in DXA fat estimates. The present study aim was to develop and validate a DXA physical hydration model and then to apply this model by simulating errors arising from hypothetical overhydration states. The DXA physical hydration model was developed by first linking biological substance elemental content with photon attenuation. The validated physical model was next extended to describe photon attenuation changes anticipated when predefined amounts of two known composition components are mixed, as would occur when overhydration develops. Two overhydration models were developed in the last phase of study, formulated on validated physical models, and error was simulated for fluid surfeit states. Results indicate that systematic errors in DXA percent fat arise with added fluids when fractional masses are varied as a percentage of combined fluid + soft tissue mass. Three independent determinants of error magnitude were established: elemental content of overhydration fluid, fraction of combined fluid + soft tissue as overhydration fluid, and initial soft tissue composition. Small but systematic and predictable errors in DXA soft tissue composition analysis thus can arise with fluid balance changes.

Soft Tissue Composition in Upper Leg Lipodystrophy: Application of Dual Energy X-Ray Absorptiometry

2002 ◽  
Vol 26 (5) ◽  
pp. 345-347 ◽  
Author(s):  
Carmela Maiolo ◽  
Valerio Cervelli ◽  
Maria Chiara Fede ◽  
Antonino Lorenzo
Keyword(s):  
Soft Tissue ◽  
Dual Energy ◽  
Tissue Composition ◽  
Soft Tissue Composition ◽  
X Ray

DETECTION OF SMALL CHANGES IN SOFT TISSUE COMPOSITION BY DUAL-ENERGY X-RAY ABSORPTIOMETRY

1992 ◽  
Vol 24 (Supplement) ◽  
pp. S58
Author(s):  
M. P. Massett ◽  
M. C. Hall ◽  
S. B. Going ◽  
T. G. Lohman ◽  
T. A. Root
Keyword(s):  
Soft Tissue ◽  
Dual Energy ◽  
Tissue Composition ◽  
Soft Tissue Composition ◽  
X Ray
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