Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry
Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry
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DOI：
10.1016/j.jbiomech.2009.09.039
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发表时间：
2010-02-10
影响因子：
2.4
通讯作者：
Browne, Martin
中科院分区：
文献类型：
--
作者：
Dopico-Gonzalez, Carolina;New, Andrew M.;Browne, Martin
在本研究中，使用非骨水泥全髋关节置换术模型评估概率有限元工具。研究了三根近端股骨和两种假体设计（Proxima短柄和IPS髋关节干假体）的完全结合和摩擦界面。蒙特卡罗法采用两个性能指标：骨体积超过规定应变极限的百分比和最大节点微动。植入骨相对位置的6个自由度、髋部接触力的大小(L)和L的空间方向为随机变量。股骨近端远端部分被完全约束，一些主要的肌肉力量作用于髋关节。采用随机变量与输出之间的线性逼近系数作为灵敏度值。所有病例中，骨种植体位置相关参数是最敏感的参数。结果取决于股骨，植入物设计和界面条件。最大节点微动值与前人的研究结果一致，证实了所实现计算工具的鲁棒性。结果表明，单一模型研究的结果不应推广到整个股骨群体，骨变异性是应在此类分析中调查的重要因素。2009爱思唯尔有限公司版权所有。
In the present study, a probabilistic finite element tool was assessed using an uncemented total hip replacement model. Fully bonded and frictional interfaces were investigated for combinations of three proximal femurs and two implant designs, the Proxima short stem and the IPS hip stem prostheses. The Monte Carlo method was used with two performance indicators: the percentage of bone volume that exceeded specified strain limits and the maximum nodal micromotion. The six degrees of freedom of bone-implant relative position, magnitude of the hip contact force (L), and spatial direction of L were the random variables. The distal portion of the proximal femurs was completely constrained and some of the main muscle forces acting in the hip were applied. The coefficients of the linear approximation between the random variables and the output were used as the sensitivity values. In all cases, bone-implant position related parameters were the most sensitive parameters. The results varied depending on the femur, the implant design and the interface conditions. Values of maximum nodal micromotion agreed with results from previous studies, confirming the robustness of the implemented computational tool. It was demonstrated that results from a single model study should not be generalised to the entire population of femurs and that bone variability is an important factor that should be investigated in such analyses. (C) 2009 Elsevier Ltd. All rights reserved.