Midorikawa Taishi, Ohta Megumi, Hikihara Yuki, Torii Suguru, Sakamoto Shizuo
1College of Health and Welfare,J. F. Oberlin University,Machida,Tokyo 194-0294,Japan.
2School of International Liberal Studies,Chukyo University,Toyota-shi,Aichi 470-0393,Japan.
Br J Nutr. 2015 Oct 28;114(8):1209-17. doi: 10.1017/S0007114515002585. Epub 2015 Sep 4.
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.
目前几乎没有有效的现场方法可用于准确、无创地估计儿童骨骼肌体积(SMV)和质量。我们旨在利用超声成像技术,为日本青春期前儿童开发基于回归分析的SMV预测方程,并评估这些方程的有效性。总共145名6至12岁的健康日本青春期前儿童被随机分为两组:模型开发组(60名男孩,37名女孩)和验证组(29名男孩,19名女孩)。从第一颈椎到踝关节获取了1厘米层厚的连续MRI形式的参考数据。通过将数字化横截面积相加来计算SMV。使用B型超声在不同区域的9个部位测量肌肉厚度。在模型开发组中,对于男孩和女孩,通过MRI测量的部位匹配SMV(总计、手臂、躯干、大腿和小腿)与通过超声获得的肌肉厚度×身高测量值之间均观察到强的、具有统计学意义的相关性。当将这些SMV预测方程应用于验证组时,测量的总SMV和区域SMV也分别与预测的男孩和女孩的值非常相似。除了女孩的躯干区域外,验证组的Bland-Altman分析未显示男孩或女孩存在任何偏差。这些结果表明,超声衍生的男孩和女孩预测方程可用于估计总SMV和区域SMV。