Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis

Abstract Background The primary aim of this study was to investigate whether using the extracellular water/intracellular water (ECW/ICW) index and phase angle combined with segmental-bioimpedance analysis (BIA) improved the model fitting of skeletal muscle volume (SMV) estimation. The secondary aim...

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Main Authors: Masashi Taniguchi, Yosuke Yamada, Masahide Yagi, Ryusuke Nakai, Hiroshige Tateuchi, Noriaki Ichihashi
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Physiological Anthropology
Subjects:
Online Access:https://doi.org/10.1186/s40101-021-00263-z
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spelling doaj-2bff299643f744309cce4ab5941f190a2021-10-03T11:06:18ZengBMCJournal of Physiological Anthropology1880-68052021-09-0140111110.1186/s40101-021-00263-zEstimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysisMasashi Taniguchi0Yosuke Yamada1Masahide Yagi2Ryusuke Nakai3Hiroshige Tateuchi4Noriaki Ichihashi5Human Health Sciences, Graduate School of Medicine, Kyoto UniversityNational Institutes of Biomedical Innovation, Health and NutritionHuman Health Sciences, Graduate School of Medicine, Kyoto UniversityKokoro Research Center, Kyoto UniversityHuman Health Sciences, Graduate School of Medicine, Kyoto UniversityHuman Health Sciences, Graduate School of Medicine, Kyoto UniversityAbstract Background The primary aim of this study was to investigate whether using the extracellular water/intracellular water (ECW/ICW) index and phase angle combined with segmental-bioimpedance analysis (BIA) improved the model fitting of skeletal muscle volume (SMV) estimation. The secondary aim was to compare the accuracy of segmental-BIA with that of ultrasound for estimating the quadriceps SMV measured with MRI. Methods Seventeen young men (mean age, 23.8 ± 3.3 years) participated in the study. The T-1 weighted images of thigh muscles were obtained using a 1.5 T magnetic resonance imaging (MRI) scanner. Thigh and quadriceps SMVs were calculated as the sum of the products of anatomical cross-sectional area and slice thickness of 6 mm across all slices. Segmental-BIA was applied to the thigh region, and data on the 50-kHz bioelectrical impedance (BI) index, ICW index, ECW/ICW index, and phase angle were obtained. The muscle thickness index was calculated as the product of the mid-thigh muscle thickness, determined using ultrasound, and thigh length. The standard error of estimate (SEE) of the regression equation was calculated to determine the model fitting of SMV estimation and converted to %SEE by dividing the SEE values by the mean SMV. Results Multiple regression analysis indicated that the combination of 50-kHz BI and the ECW/ICW index or phase angle was a significant predictor when estimating thigh SMV (SEE = 7.9 and 8.1%, respectively), but were lower than the simple linear regression (SEE = 9.4%). The ICW index alone improved the model fitting for the estimation equation (SEE = 7.6%). The model fitting of the quadriceps SMV with the 50-kHz BI or ICW index was similar to that with the skeletal muscle thickness index measured using ultrasound (SEE = 10.8, 9.6 and 9.7%, respectively). Conclusions Combining the traditionally used 50-kHz BI index with the ECW/ICW index and phase angle can improve the model fitting of estimated SMV measured with MRI. We also showed that the model suitability of SMV estimation using segmental-BIA was equivalent to that on using ultrasound. These data indicate that segmental-BIA may be a useful and cost-effective alternative to the gold standard MRI for estimating SMV.https://doi.org/10.1186/s40101-021-00263-zSegmental-bioimpedance analysisSkeletal muscle volumeThighQuadricepsEstimation equation
collection DOAJ
language English
format Article
sources DOAJ
author Masashi Taniguchi
Yosuke Yamada
Masahide Yagi
Ryusuke Nakai
Hiroshige Tateuchi
Noriaki Ichihashi
spellingShingle Masashi Taniguchi
Yosuke Yamada
Masahide Yagi
Ryusuke Nakai
Hiroshige Tateuchi
Noriaki Ichihashi
Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
Journal of Physiological Anthropology
Segmental-bioimpedance analysis
Skeletal muscle volume
Thigh
Quadriceps
Estimation equation
author_facet Masashi Taniguchi
Yosuke Yamada
Masahide Yagi
Ryusuke Nakai
Hiroshige Tateuchi
Noriaki Ichihashi
author_sort Masashi Taniguchi
title Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
title_short Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
title_full Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
title_fullStr Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
title_full_unstemmed Estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
title_sort estimating thigh skeletal muscle volume using multi-frequency segmental-bioelectrical impedance analysis
publisher BMC
series Journal of Physiological Anthropology
issn 1880-6805
publishDate 2021-09-01
description Abstract Background The primary aim of this study was to investigate whether using the extracellular water/intracellular water (ECW/ICW) index and phase angle combined with segmental-bioimpedance analysis (BIA) improved the model fitting of skeletal muscle volume (SMV) estimation. The secondary aim was to compare the accuracy of segmental-BIA with that of ultrasound for estimating the quadriceps SMV measured with MRI. Methods Seventeen young men (mean age, 23.8 ± 3.3 years) participated in the study. The T-1 weighted images of thigh muscles were obtained using a 1.5 T magnetic resonance imaging (MRI) scanner. Thigh and quadriceps SMVs were calculated as the sum of the products of anatomical cross-sectional area and slice thickness of 6 mm across all slices. Segmental-BIA was applied to the thigh region, and data on the 50-kHz bioelectrical impedance (BI) index, ICW index, ECW/ICW index, and phase angle were obtained. The muscle thickness index was calculated as the product of the mid-thigh muscle thickness, determined using ultrasound, and thigh length. The standard error of estimate (SEE) of the regression equation was calculated to determine the model fitting of SMV estimation and converted to %SEE by dividing the SEE values by the mean SMV. Results Multiple regression analysis indicated that the combination of 50-kHz BI and the ECW/ICW index or phase angle was a significant predictor when estimating thigh SMV (SEE = 7.9 and 8.1%, respectively), but were lower than the simple linear regression (SEE = 9.4%). The ICW index alone improved the model fitting for the estimation equation (SEE = 7.6%). The model fitting of the quadriceps SMV with the 50-kHz BI or ICW index was similar to that with the skeletal muscle thickness index measured using ultrasound (SEE = 10.8, 9.6 and 9.7%, respectively). Conclusions Combining the traditionally used 50-kHz BI index with the ECW/ICW index and phase angle can improve the model fitting of estimated SMV measured with MRI. We also showed that the model suitability of SMV estimation using segmental-BIA was equivalent to that on using ultrasound. These data indicate that segmental-BIA may be a useful and cost-effective alternative to the gold standard MRI for estimating SMV.
topic Segmental-bioimpedance analysis
Skeletal muscle volume
Thigh
Quadriceps
Estimation equation
url https://doi.org/10.1186/s40101-021-00263-z
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