Medical Image Computing (Radiology, ESAT/PSI), University Hospital Leuven Campus Gasthuisberg, Herestraat 4, B-3000 Leuven, Belgium.
J Biomech. 2011 Apr 29;44(7):1346-53. doi: 10.1016/j.jbiomech.2011.01.001. Epub 2011 Feb 3.
Biomechanical parameters of gait such as muscle's moment arm length (MAL) and muscle-tendon length are known to be sensitive to anatomical variability. Nevertheless, most studies rely on rescaled generic models (RGMo) constructed from averaged data of cadaveric measurements in a healthy adult population. As an alternative, deformable generic models (DGMo) have been proposed. These models integrate a higher level of subject-specific detail by applying characteristic deformations to the musculoskeletal geometry. In contrast, musculoskeletal models based on magnetic resonance (MR) images (MRMo) reflect the involved subject's characteristics in every level of the model. This study investigated the effect of the varying levels of subject-specific detail in these three model types on the calculated hip MAL during gait in a pediatric population of seven cerebral palsy subjects presenting aberrant femoral geometry. Our results show large percentage differences in calculated MAL between RGMo and MRMo. Furthermore, the use of DGMo did not uniformly reduce inter-model differences in calculated MAL. The magnitude of these percentage differences stresses the need to take these effects into account when selecting the level of subject-specific detail one wants to integrate in musculoskeletal. Furthermore, the variability of these differences between subjects and between muscles makes it very difficult to a priori estimate their importance for a biomechanical analysis of a certain muscle in a given subject.
步态的生物力学参数,如肌肉的力臂长度(MAL)和肌肉-肌腱长度,已知对解剖变异敏感。然而,大多数研究依赖于从健康成年人的尸体测量平均数据重建的缩放通用模型(RGMo)。作为替代方案,已经提出了可变形通用模型(DGMo)。这些模型通过对骨骼肌肉几何形状施加特征变形,纳入了更高水平的特定于主体的细节。相比之下,基于磁共振(MR)图像的骨骼肌肉模型(MRMo)在模型的每个层面都反映了所涉及主体的特征。本研究调查了三种模型类型中不同程度的特定于主体的细节对计算髋关节 MAL 的影响在患有异常股骨几何形状的七名脑瘫儿童患者的步态中。我们的结果表明,RGMo 和 MRMo 之间的计算 MAL 存在很大的百分比差异。此外,使用 DGMo 并不能均匀地减少计算 MAL 中的模型间差异。这些百分比差异的大小强调了在选择想要整合到骨骼肌肉中的特定于主体的细节水平时需要考虑这些影响。此外,这些差异在主体之间和肌肉之间的变异性使得很难事先估计它们对给定主体中特定肌肉的生物力学分析的重要性。