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Am J Physiol Endocrinol Metab (November 20, 2001). doi:10.1152/ajpendo.00109.2001
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Articles in PresS, published online ahead of print November 20, 2001
Am J Physiol Endocrinol Metab, 10.1152/ajpendo.00109.2001
Submitted on March 14, 2001
Accepted on November 8, 2001

NEW BIOIMPEDANCE ANALYSIS MODEL ACCURATELY PREDICTS LOWER LIMB MUSCLE VOLUME:validation using magnetic resonance imaging

Serenella Salinari1*, Alessandro Bertuzzi2, Geltrude Mingrone3, Esmeralda Capristo3, Angelo Pietrobelli4, Paolo Campioni5, Aldo V Greco3, and Steven B Heymsfield4

1 Dipartimento di Informatica e Sistemistica, Universita di Roma, Roma, Italy
2 Istituto di Analisi dei Sistemi e Informatica, Consiglio Nazionale delle Ricerche, Roma, Italy
3 Istituto di Medicina Interna e Geriatria, Universita Cattolica del Sacro Cuore, Roma, Italy
4 St. Luke's-Roosevelt Hospital, Columbia, University College of Physicians and Surgeons, New York, New York, USA
5 Istituto di Radiologia, Universita Cattolica del Sacro Cuore, Roma, Italy

* To whom correspondence should be addressed. E-mail: salinari{at}dis.uniroma1.it.

{Rightarrow}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 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 6 lean subjects (3 men and 3 women, age 32.2±6.9 years). 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 resistance were similar (261.3±7.7 vs 249±9 {Omega}; p=NS). 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.




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