Park Eun Sook, Sim Eungeol, Rha Dong-Wook, Jung Soojin
Department of Rehabilitation Medicine, Severance Hospital, Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea.
Yonsei Med J. 2014 Jul;55(4):1115-22. doi: 10.3349/ymj.2014.55.4.1115.
This study aimed to investigate useful parameters for estimating gastrocnemius (GCM) muscle volume (MV) using ultrasonography (US) and anthropometry in children with spastic cerebral palsy (CP).
Eighteen legs from nine children with spastic CP aged 2 to 6 years were investigated in this study. Tibial length (TL) of each leg was measured and muscle thickness (MT) and anatomical cross-sectional area (aCSA) of GCM muscles were assessed using US. The volume of the GCM was measured by magnetic resonance imaging (MRI) scans. The relationship of TL, MT, and aCSA with MV measured by MRI was investigated. Simple and multiple regression analyses were performed to establish muscle volume prediction equations.
Resting MT, aCSA, and TL were highly related to MV of both medial and lateral head of GCM determined by MRI. The MV prediction equation based on simple regression analysis resulted in r² values ranging from 0.591 to 0.832 (p<0.05). The r² values were higher using aCSA as independent variable than using MT. The MV prediction equation based on multiple regression analysis resulted in r² values ranging from 0.779 to 0.903 (p<0.05). However, the relatively high standard error of the estimate values ranged from 18.0-33.6% on simple regression and 15.5-25.6% on multiple regression. The contribution of aCSA was higher than that of MT for predicting MV of GCM.
Our study demonstrated the suitability of US assessment of aCSA and MT combined with TL for estimating MV of GCM in children with spastic CP and showed that aCSA is more useful parameter than MT.
本研究旨在探讨利用超声检查(US)和人体测量法评估痉挛型脑瘫(CP)患儿腓肠肌(GCM)肌肉体积(MV)的有用参数。
本研究对9名年龄在2至6岁的痉挛型CP患儿的18条腿进行了调查。测量每条腿的胫骨长度(TL),并使用超声评估GCM肌肉的厚度(MT)和解剖横截面积(aCSA)。通过磁共振成像(MRI)扫描测量GCM的体积。研究TL、MT和aCSA与MRI测量的MV之间的关系。进行简单和多元回归分析以建立肌肉体积预测方程。
静息MT、aCSA和TL与MRI测定的GCM内侧和外侧头的MV高度相关。基于简单回归分析的MV预测方程得出的r²值范围为0.591至0.832(p<0.05)。以aCSA作为自变量时的r²值高于以MT作为自变量时的r²值。基于多元回归分析的MV预测方程得出的r²值范围为0.779至0.903(p<0.05)。然而,估计值的相对较高标准误差在简单回归时为18.0 - 33.6%,在多元回归时为15.5 - 25.6%。aCSA对预测GCM的MV的贡献高于MT。
我们的研究表明,超声评估aCSA和MT并结合TL适用于估计痉挛型CP患儿GCM的MV,并且表明aCSA是比MT更有用的参数。