Department of Mechanical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.
J Biomech. 2011 Nov 10;44(16):2782-9. doi: 10.1016/j.jbiomech.2011.08.024. Epub 2011 Sep 19.
Musculoskeletal computer models are often used to study muscle function in children with and without impaired mobility. Calculations of muscle forces depend in part on the assumed strength of each muscle, represented by the peak isometric force parameter, which is usually based on measurements obtained from cadavers of adult donors. The aim of the present study was twofold: first, to develop a method for scaling lower-limb peak isometric muscle forces in typically-developing children; and second, to determine the effect of this scaling method on model calculations of muscle forces obtained for normal gait. Muscle volumes were determined from magnetic resonance (MR) images obtained from ten children aged from 7 to 13yr. A new mass-length scaling law was developed based on the assumption that muscle volume and body mass are linearly related, which was confirmed by the obtained volume and body mass data. Two musculoskeletal models were developed for each subject: one in which peak isometric muscle forces were estimated using the mass-length scaling law; and another in which these parameters were determined directly from the MR-derived muscle volumes. Musculoskeletal modeling and quantitative gait analysis were then used to calculate lower-limb muscle forces in normal walking. The patterns of muscle forces predicted by the model with scaled peak isometric force values were similar to those predicted by the MR-based model, implying that assessments of muscle function obtained from these two methods are practically equivalent. These results support the use of mass-length scaling in the development of subject-specific musculoskeletal models of children.
肌肉骨骼计算机模型常用于研究运动能力受损和未受损儿童的肌肉功能。肌肉力量的计算部分取决于每个肌肉的假设强度,这由峰值等长力量参数表示,该参数通常基于从成人供体尸体获得的测量值。本研究旨在:第一,开发一种用于对正常发育儿童下肢峰值等长肌肉力量进行比例缩放的方法;第二,确定该缩放方法对正常步态下肌肉力量模型计算的影响。通过从 7 至 13 岁的 10 名儿童获得的磁共振(MR)图像确定肌肉体积。根据肌肉体积和体重呈线性相关的假设,开发了一种新的质量-长度缩放定律,并通过获得的体积和体重数据进行了验证。为每个受试者开发了两个肌肉骨骼模型:一个模型使用质量-长度缩放定律估计峰值等长肌肉力量;另一个模型则直接从 MR 衍生的肌肉体积中确定这些参数。然后,使用肌肉骨骼建模和定量步态分析来计算正常行走时下肢肌肉力量。具有缩放后的峰值等长力量值的模型预测的肌肉力量模式与基于 MR 的模型预测的模式相似,这意味着从这两种方法获得的肌肉功能评估在实际应用中是等效的。这些结果支持在开发儿童特定的肌肉骨骼模型中使用质量-长度缩放。