Johnson Joshua E, Anderson Donald D
Department of Orthopedics and Rehabilitation, University of Iowa, North Liberty, IA 52317, USA.
Department of Orthopedics and Rehabilitation, University of Iowa, North Liberty, IA 52317, USA; Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA.
J Biomech. 2025 Aug;189:112832. doi: 10.1016/j.jbiomech.2025.112832. Epub 2025 Jun 24.
Initial tibial implant stability is important for successful long-term outcome after uncemented total ankle replacement (TAR). Tibia-implant interfacial micromotion is consequently a key variable used to evaluate implant performance using finite element analysis (FEA). Our goal was to investigate how bone material behavior assumptions influence FEA-predicted tibia-implant interfacial micromotions. Five tibia geometries and their corresponding density distributions were acquired from CT scans of TAR patients. The corresponding models were then virtually implanted with two tibial implant designs. FEA was used to simulate loadings from the stance phase of gait with line-to-line implantation. FEA predictions of peak micromotions and von Mises stress differences were compared across each patient-implant configuration, when incorporating elastic-plastic versus only linear elastic bone material behavior (5 tibias × 2 implant designs × 2 tibia material behaviors). We found that peak micromotions trended larger (up to 69 % greater) when elastic-plastic bone material behavior was incorporated, and that larger differences in peak micromotions were seen with larger differences in peak interfacial von Mises stresses between simulations incorporating elastic-plastic versus linear elastic bone material behavior (r = -0.73, p < 0.001). The larger peak micromotions when elastic-plastic bone material behavior was incorporated were strongly associated with how much interfacial bone plasticly deformed (r = 0.92, p < 0.001). These results imply that tibia-implant interfacial micromotions are underestimated when bone is assumed to behave only as a linear elastic material. Thus, the results from such FEA simulations should be interpreted with caution, as they are likely conservative in their estimates of micromotion.
对于非骨水泥型全踝关节置换术(TAR)后长期疗效的成功而言,初始胫骨植入物稳定性至关重要。因此,胫骨 - 植入物界面微动是使用有限元分析(FEA)评估植入物性能的关键变量。我们的目标是研究骨材料行为假设如何影响FEA预测的胫骨 - 植入物界面微动。从TAR患者的CT扫描中获取了五种胫骨几何形状及其相应的密度分布。然后将相应的模型虚拟植入两种胫骨植入物设计。使用FEA模拟步态站立期的对线植入加载。在纳入弹塑性与仅线性弹性骨材料行为时(5种胫骨×2种植入物设计×2种胫骨材料行为),比较了每种患者 - 植入物配置下FEA预测的峰值微动和冯·米塞斯应力差异。我们发现,纳入弹塑性骨材料行为时,峰值微动趋势更大(高达69%),并且在纳入弹塑性与线性弹性骨材料行为的模拟之间,峰值界面冯·米塞斯应力差异越大,峰值微动差异也越大(r = -0.73,p < 0.001)。纳入弹塑性骨材料行为时更大的峰值微动与界面骨塑性变形的程度密切相关(r = 0.92,p < 0.001)。这些结果表明,当假设骨仅表现为线性弹性材料时,胫骨 - 植入物界面微动被低估。因此,此类FEA模拟的结果应谨慎解释,因为它们在微动估计方面可能较为保守。