期刊论文详细信息
JOURNAL OF BIOMECHANICS 卷:43
Computational assessment of the influence of vastus medialis obliquus function on patellofemoral pressures: Model evaluation
Article
Elias, John J.1,2  Kilambi, Srianjana2  Cosgarea, Andrew J.3 
[1] Akron Gen Med Ctr, Calhoun Res Lab, Akron, OH 44307 USA
[2] Med Educ & Res Inst Colorado, Colorado Springs, CO USA
[3] Johns Hopkins Univ, Dept Orthopaed Surg, Baltimore, MD USA
关键词: Patellofemoral joint;    Computational model;    Pressure;    Cartilage;    Vastus medialis obliquus;   
DOI  :  10.1016/j.jbiomech.2009.10.039
来源: Elsevier
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【 摘 要 】

A study was performed to evaluate a computational model used to characterize the influence of vastus medialis obliquus (VMO) function on the patellofemoral pressure distribution. Ten knees were tested in vitro at 400, 60 and 80 of knee flexion with quadriceps loads applied to represent a normal VMO, and with the VMO force decreased by approximately 50% to represent a weak VMO. The tests were performed with the cartilage intact and with a full thickness cartilage lesion centered on the lateral facet of the patella. The experimental tests were replicated computationally by applying discrete element analysis to a model of each knee constructed from MRI images. Repeated measures statistical comparisons were used to compare computational to experimental data and identify significant (p < 0.05) differences due to the lesion and the applied VMO force. Neither the lateral force percentage nor the maximum lateral pressure varied significantly between the computational and experimental data. Creating a lesion significantly increased the maximum lateral pressure for all comparisons, except for the experimental data at 40. Both computationally and experimentally, decrease in the VMO force increased the lateral force percentage by approximately 10% for all cases, and each increase was statistically significant. The maximum lateral pressure increase was typically less than 10% but was still significant for the majority of comparisons focused on the VMO strength. The results indicate that computational modeling can be used to characterize how varying quadriceps loading influences the patellofemoral force and pressure distributions while varying the condition of cartilage. (C) 2009 Elsevier Ltd. All rights reserved.

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