Ward Samuel R, Eng Carolyn M, Smallwood Laura H, Lieber Richard L
Department of Radiology, University of California and Veterans Administration Medical Centers, San Diego, CA, USA.
Clin Orthop Relat Res. 2009 Apr;467(4):1074-82. doi: 10.1007/s11999-008-0594-8. Epub 2008 Oct 30.
Skeletal muscle architecture is defined as the arrangement of fibers in a muscle and functionally defines performance capacity. Architectural values are used to model muscle-joint behavior and to make surgical decisions. The two most extensively used human lower extremity data sets consist of five total specimens of unknown size, gender, and age. Therefore, it is critically important to generate a high-fidelity human lower extremity muscle architecture data set. We disassembled 27 muscles from 21 human lower extremities to characterize muscle fiber length and physiologic cross-sectional area, which define the excursion and force-generating capacities of a muscle. Based on their architectural features, the soleus, gluteus medius, and vastus lateralis are the strongest muscles, whereas the sartorius, gracilis, and semitendinosus have the largest excursion. The plantarflexors, knee extensors, and hip adductors are the strongest muscle groups acting at each joint, whereas the hip adductors and hip extensors have the largest excursion. Contrary to previous assertions, two-joint muscles do not necessarily have longer fibers than single-joint muscles as seen by the similarity of knee flexor and extensor fiber lengths. These high-resolution data will facilitate the development of more accurate musculoskeletal models and challenge existing theories of muscle design; we believe they will aid in surgical decision making.
骨骼肌结构被定义为肌肉中纤维的排列方式,并在功能上决定了运动能力。结构参数用于建立肌肉-关节行为模型并辅助手术决策。目前使用最广泛的两个下肢数据集总共包含五个样本,其大小、性别和年龄均未知。因此,生成一个高保真的下肢肌肉结构数据集至关重要。我们从21个下肢中拆解出27块肌肉,以确定肌纤维长度和生理横截面积,这两个参数决定了肌肉的收缩幅度和力量产生能力。根据其结构特征,比目鱼肌、臀中肌和股外侧肌是最强壮的肌肉,而缝匠肌、股薄肌和半腱肌的收缩幅度最大。跖屈肌、膝关节伸肌和髋关节内收肌是作用于每个关节的最强肌肉群,而髋关节内收肌和髋关节伸肌的收缩幅度最大。与之前的观点相反,通过观察膝关节屈肌和伸肌纤维长度的相似性可知,双关节肌肉的纤维长度不一定比单关节肌肉长。这些高分辨率数据将有助于开发更精确的肌肉骨骼模型,并对现有的肌肉设计理论提出挑战;我们相信它们将有助于手术决策。