Predicting skeletal muscle mass from dual-energy X-ray absorptiometry in Japanese prepubertal children

T. Midorikawa, M. Ohta, Y. Hikihara, Suguru Torii, Shizuo Sakamoto

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5 Citations (Scopus)

Abstract

Background/Objective:We aimed to develop regression-based prediction equations for estimating total and regional skeletal muscle mass (SMM) from measurements of lean soft tissue mass (LSTM) using dual-energy X-ray absorptiometry (DXA) and investigate the validity of these equations.Subjects/Methods:In total, 144 healthy Japanese prepubertal children aged 6–12 years were divided into 2 groups: the model development group (62 boys and 38 girls) and the validation group (26 boys and 18 girls). Contiguous MRI images with a 1-cm slice thickness were obtained from the first cervical vertebra to the ankle joints as reference data. The SMM was calculated from the summation of the digitized cross-sectional areas. Total and regional LSTM was measured using DXA.Results:Strong significant correlations were observed between the site-matched SMM (total, arms, trunk and legs) measured by MRI and the LSTM obtained by DXA in the model development group for both boys and girls (R2 adj=0.86–0.97, P<0.01, standard error of the estimate (SEE)=0.08–0.44 kg). When these SMM prediction equations were applied to the validation group, the measured total (boys 9.47±2.21 kg; girls 8.18±2.62 kg) and regional SMM were very similar to the predicted values for both boys (total SMM 9.40±2.39 kg) and girls (total SMM 8.17±2.57 kg). The results of the Bland–Altman analysis for the validation group did not indicate any bias for either boys or girls with the exception of the arm region for the girls.Conclusions:These results suggest that the DXA-derived prediction equations are precise and accurate for the estimation of total and regional SMM in Japanese prepubertal boys and girls.European Journal of Clinical Nutrition advance online publication, 5 April 2017; doi:10.1038/ejcn.2017.35.

Original languageEnglish
JournalEuropean Journal of Clinical Nutrition
DOIs
Publication statusAccepted/In press - 2017 Apr 5

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Photon Absorptiometry
Skeletal Muscle
Arm
Cervical Vertebrae
Ankle Joint
Publications
Leg

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

Cite this

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title = "Predicting skeletal muscle mass from dual-energy X-ray absorptiometry in Japanese prepubertal children",
abstract = "Background/Objective:We aimed to develop regression-based prediction equations for estimating total and regional skeletal muscle mass (SMM) from measurements of lean soft tissue mass (LSTM) using dual-energy X-ray absorptiometry (DXA) and investigate the validity of these equations.Subjects/Methods:In total, 144 healthy Japanese prepubertal children aged 6–12 years were divided into 2 groups: the model development group (62 boys and 38 girls) and the validation group (26 boys and 18 girls). Contiguous MRI images with a 1-cm slice thickness were obtained from the first cervical vertebra to the ankle joints as reference data. The SMM was calculated from the summation of the digitized cross-sectional areas. Total and regional LSTM was measured using DXA.Results:Strong significant correlations were observed between the site-matched SMM (total, arms, trunk and legs) measured by MRI and the LSTM obtained by DXA in the model development group for both boys and girls (R2 adj=0.86–0.97, P<0.01, standard error of the estimate (SEE)=0.08–0.44 kg). When these SMM prediction equations were applied to the validation group, the measured total (boys 9.47±2.21 kg; girls 8.18±2.62 kg) and regional SMM were very similar to the predicted values for both boys (total SMM 9.40±2.39 kg) and girls (total SMM 8.17±2.57 kg). The results of the Bland–Altman analysis for the validation group did not indicate any bias for either boys or girls with the exception of the arm region for the girls.Conclusions:These results suggest that the DXA-derived prediction equations are precise and accurate for the estimation of total and regional SMM in Japanese prepubertal boys and girls.European Journal of Clinical Nutrition advance online publication, 5 April 2017; doi:10.1038/ejcn.2017.35.",
author = "T. Midorikawa and M. Ohta and Y. Hikihara and Suguru Torii and Shizuo Sakamoto",
year = "2017",
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day = "5",
doi = "10.1038/ejcn.2017.35",
language = "English",
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T1 - Predicting skeletal muscle mass from dual-energy X-ray absorptiometry in Japanese prepubertal children

AU - Midorikawa, T.

AU - Ohta, M.

AU - Hikihara, Y.

AU - Torii, Suguru

AU - Sakamoto, Shizuo

PY - 2017/4/5

Y1 - 2017/4/5

N2 - Background/Objective:We aimed to develop regression-based prediction equations for estimating total and regional skeletal muscle mass (SMM) from measurements of lean soft tissue mass (LSTM) using dual-energy X-ray absorptiometry (DXA) and investigate the validity of these equations.Subjects/Methods:In total, 144 healthy Japanese prepubertal children aged 6–12 years were divided into 2 groups: the model development group (62 boys and 38 girls) and the validation group (26 boys and 18 girls). Contiguous MRI images with a 1-cm slice thickness were obtained from the first cervical vertebra to the ankle joints as reference data. The SMM was calculated from the summation of the digitized cross-sectional areas. Total and regional LSTM was measured using DXA.Results:Strong significant correlations were observed between the site-matched SMM (total, arms, trunk and legs) measured by MRI and the LSTM obtained by DXA in the model development group for both boys and girls (R2 adj=0.86–0.97, P<0.01, standard error of the estimate (SEE)=0.08–0.44 kg). When these SMM prediction equations were applied to the validation group, the measured total (boys 9.47±2.21 kg; girls 8.18±2.62 kg) and regional SMM were very similar to the predicted values for both boys (total SMM 9.40±2.39 kg) and girls (total SMM 8.17±2.57 kg). The results of the Bland–Altman analysis for the validation group did not indicate any bias for either boys or girls with the exception of the arm region for the girls.Conclusions:These results suggest that the DXA-derived prediction equations are precise and accurate for the estimation of total and regional SMM in Japanese prepubertal boys and girls.European Journal of Clinical Nutrition advance online publication, 5 April 2017; doi:10.1038/ejcn.2017.35.

AB - Background/Objective:We aimed to develop regression-based prediction equations for estimating total and regional skeletal muscle mass (SMM) from measurements of lean soft tissue mass (LSTM) using dual-energy X-ray absorptiometry (DXA) and investigate the validity of these equations.Subjects/Methods:In total, 144 healthy Japanese prepubertal children aged 6–12 years were divided into 2 groups: the model development group (62 boys and 38 girls) and the validation group (26 boys and 18 girls). Contiguous MRI images with a 1-cm slice thickness were obtained from the first cervical vertebra to the ankle joints as reference data. The SMM was calculated from the summation of the digitized cross-sectional areas. Total and regional LSTM was measured using DXA.Results:Strong significant correlations were observed between the site-matched SMM (total, arms, trunk and legs) measured by MRI and the LSTM obtained by DXA in the model development group for both boys and girls (R2 adj=0.86–0.97, P<0.01, standard error of the estimate (SEE)=0.08–0.44 kg). When these SMM prediction equations were applied to the validation group, the measured total (boys 9.47±2.21 kg; girls 8.18±2.62 kg) and regional SMM were very similar to the predicted values for both boys (total SMM 9.40±2.39 kg) and girls (total SMM 8.17±2.57 kg). The results of the Bland–Altman analysis for the validation group did not indicate any bias for either boys or girls with the exception of the arm region for the girls.Conclusions:These results suggest that the DXA-derived prediction equations are precise and accurate for the estimation of total and regional SMM in Japanese prepubertal boys and girls.European Journal of Clinical Nutrition advance online publication, 5 April 2017; doi:10.1038/ejcn.2017.35.

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