A finite element inverse analysis to assess functional improvement during the fracture healing process.

A finite element inverse analysis to assess functional improvement during the fracture healing process.
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DOI:
10.1016/j.jbiomech.2009.09.051
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发表时间:
2010-02-10
影响因子:
2.4
通讯作者:
Spagnoli, Anna
Spagnoli, Anna
中科院分区:
工程技术3区
文献类型:
--
作者:
Weis, Jared A.;Miga, Michael I.;Granero-Molto, Froilan;Spagnoli, Anna

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评价骨折愈合过程中的承重功能恢复是骨折愈合研究的中心目标。在骨折愈合过程中,有两个关键因素影响其分析:(1)骨痂成分的材料特性;(2)骨痂相对于软骨和新骨形成的时空结构。在这项研究中,使用了一种反问题方法,该方法既考虑了特征,又产生了可以分析愈合变化的材料性能估计。在骨折愈合最活跃的两个时间点,分别于骨折后10d(n=3)和14d(n=3)获得6个稳定的骨折小鼠胫骨。在相同的位移条件下,生成骨痂材料属性的逆过程估计,并将其与其他骨折愈合指标进行比较。在检测在愈合时间点期间发生的僵硬变化方面,有限元估计属性是唯一具有统计学意义的指标(p=0.0194)。此外,还给出了关于对初始猜测和噪声的敏感性以及骨痂结构对有限元估计的材料性能度量的影响的模拟研究。建立的有限元模型逆分析可用于确定遗传或治疗手法对啮齿动物骨折愈合的影响。
Assessment of the restoration of load-bearing function is the central goal in the study of fracture healing process. During the fracture healing, two critical aspects affect its analysis: (1) material properties of the callus components, and (2) the spatio-temporal architecture of the callus with respect to cartilage and new bone formation. In this study, an inverse problem methodology is used which takes into account both features and yields material property estimates that can analyze the healing changes. Six stabilized fractured mouse tibias are obtained at two time points during the most active phase of the healing process, respectively 10 days (n=3), and 14 days (n=3) after fracture. Under the same displacement conditions, the inverse procedure estimations of the callus material properties are generated and compared to other fracture healing metrics. The FEA estimated property is the only metric shown to be statistically significant (p=0.0194) in detecting the changes in the stiffness that occur during the healing time points. In addition, simulation studies regarding sensitivity to initial guess and noise are presented; as well as the influence of callus architecture on the FEA estimated material property metric. The finite element model inverse analysis developed can be used to determine the effects of genetics or therapeutic manipulations on fracture healing in rodents.
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