Literature DB >> 26337709

Prediction and validation of total and regional skeletal muscle volume using B-mode ultrasonography in Japanese prepubertal children.

Taishi Midorikawa1, Megumi Ohta2, Yuki Hikihara3, Suguru Torii4, Shizuo Sakamoto4.   

Abstract

Very few effective field methods are available for accurate, non-invasive estimation of skeletal muscle volume (SMV) and mass in children. We aimed to develop regression-based prediction equations for SMV, using ultrasonography, in Japanese prepubertal children, and to assess the validity of these equations. In total, 145 healthy Japanese prepubertal children aged 6-12 years were randomly divided into two groups: the model development group (sixty boys, thirty-seven girls) and the validation group (twenty-nine boys, nineteen girls). Reference data in the form of contiguous MRI with 1-cm slice thickness were obtained from the first cervical vertebra to the ankle joints. The SMV was calculated by the summation of digitised cross-sectional areas. Muscle thickness was measured using B-mode ultrasonography at nine sites in different regions. In the model development group, strong, statistically significant correlations were observed between the site-matched SMV (total, arms, trunk, thigh and lower legs) measured by MRI and the muscle thickness×height measures obtained by ultrasonography, for both boys and girls. When these SMV prediction equations were applied to the validation groups, the measured total and regional SMV were also very similar to the values predicted for boys and girls, respectively. With the exception of the trunk region in girls, the Bland-Altman analysis for the validation group did not indicate any bias for either boys or girls. These results suggest that ultrasonography-derived prediction equations for boys and girls are useful for the estimation of total and regional SMV.

Entities:  

Keywords:  Children; MRI; Prediction equations; SM skeletal muscle; SMV skeletal muscle volume; Skeletal muscle volume; Ultrasonography

Mesh:

Year:  2015        PMID: 26337709     DOI: 10.1017/S0007114515002585

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  4 in total

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

Authors:  T Midorikawa; M Ohta; Y Hikihara; S Torii; S Sakamoto
Journal:  Eur J Clin Nutr       Date:  2017-04-05       Impact factor: 4.016

2.  Reliability of lower leg muscle thickness measurement along the long axis of the muscle using ultrasound imaging, in a sitting position.

Authors:  Ryo Miyachi; Yuji Kanazawa; Yoshinari Fujii; Naoki Ohno; Tosiaki Miyati; Toshiaki Yamazaki
Journal:  J Phys Ther Sci       Date:  2022-07-01

3.  Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children.

Authors:  Megumi Ohta; Taishi Midorikawa; Yuki Hikihara; Shizuo Sakamoto; Yasuo Kawakami; Tetsuo Fukunaga; Hiroaki Kanehisa
Journal:  PLoS One       Date:  2017-05-05       Impact factor: 3.240

4.  Validity of ultrasonography-derived predictions for estimating skeletal muscle volume: a systematic literature review.

Authors:  Rasmus Liegnell; Fredrik Wessman; Adel Shalabi; Marita Harringe
Journal:  BMC Med Imaging       Date:  2021-07-05       Impact factor: 1.930

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.