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Am J Physiol Endocrinol Metab 282: E960-E966, 2002. First published November 20, 2001; doi:10.1152/ajpendo.00109.2001
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Vol. 282, Issue 4, E960-E966, April 2002

New bioimpedance model accurately predicts lower limb muscle volume: validation by magnetic resonance imaging

S. Salinari1, A. Bertuzzi2, G. Mingrone3, E. Capristo3, A. Pietrobelli4, P. Campioni5, A. V. Greco3, and S. B. Heymsfield4

1 Dipartimento di Informatica e Sistemistica, Università di Roma "La Sapienza," 00184 Rome; 2 Istituto di Analisi dei Sistemi ed Informatica del CNR, 00185 Rome; 3 Istituto di Medicina Interna e Geriatria and 5 Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; and 4 Obesity Research Center, St. Luke's-Roosevelt Hospital, Columbia University College of Physicians and Surgeons, New York, New York 10025

Conventional bioimpedance analysis (BIA) methods now simplify the representation of lower limb geometry and electrical properties for body composition estimation. In the present study, a three-dimensional model of the lower limb was assembled by segmentation of magnetic resonance cross-sectional images (MRI) for adipose tissue, skeletal muscle, and bone. An electrical network was then associated with this model. BIA and MRI measurements were made in six lean subjects (3 men and 3 women, age 32.2 ± 6.9 yr). Assuming 0.85 S/m for the longitudinal conductivity of the muscle, the model predicted in the examined subjects an impedance profile that conformed well to the BIA impedance profile; predicted and measured resistances were similar (261.3 ± 7.7 vs. 249 ± 9 Omega ; P = not significant). The resistance profile provided, through a simpler model, muscle area estimates along the lower limb and total leg muscle volume (mean 4,534 cm3 for men and 4,071 cm3 for women) with a mean of the absolute value of relative error with respect to MRI of 6.2 ± 3.9. The new approach suggests that BIA can reasonably estimate the distribution and volume of muscles in the lower extremities of lean subjects.

bioimpedance analysis; body composition; nutritional assessment; magnetic resonance imaging


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