Comparison of in situ and in vitro CT scan-based finite element model predictions of proximal femoral fracture load
Comparison of in situ and in vitro CT scan-based finite element model predictions of proximal femoral fracture load
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DOI：
10.1016/s1350-4533(03)00081-x
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发表时间：
2003-11-01
影响因子：
2.2
通讯作者：
Falkinstein, Y
中科院分区：
文献类型：
--
作者：
Keyak, JH;Falkinstein, Y
髋部骨折是一种严重且常见的损伤，可导致永久性残疾、肺炎、肺栓塞和死亡。帮助预防这些骨折的研究至关重要。基于计算机断层扫描 (CT) 扫描的有限元 (FE) 建模是一种可以在体外预测股骨近端骨折载荷的工具。由于该工具可能在体内使用，因此本研究检查了原位 CT 扫描和体外 CT 扫描生成的有限元模型是否能对近端股骨骨折载荷产生可比的预测。在原位和体外获得两具人类尸体左近端股骨的 CT 扫描，并从每次 CT 扫描生成采用非线性机械特性的三维有限元模型。通过对股骨头逐渐施加位移，在单肢站立型负载下对模型进行评估。 FE预测断裂载荷（F-FE）是最大股骨头反作用力。两名受试者的原位衍生模型的 F-FE 分别比体外衍生模型高 5.2% 和 13.3%。这些结果表明，使用原位而不是体外获得的 CT 扫描数据来生成有限元模型可能会导致预测的断裂载荷显着不同。在体内使用该技术时必须考虑这种效应。 (C) 2003 年 IPEM。由爱思唯尔有限公司出版。保留所有权利。
Hip fracture is a serious and common injury that can lead to permanent disability, pneumonia, pulmonary embolism, and death. Research to help prevent these fractures is essential. Computed tomographic (CT) scan-based finite element (FE) modeling is a tool that can predict proximal femoral fracture loads in vitro. Because this tool might be used in vivo, this study examined whether FE models generated from CT scans in situ and in vitro yield comparable predictions of proximal femoral fracture load. CT scans of the left proximal femur of two human cadavers were obtained in situ and in vitro, and three-dimensional FE models employing nonlinear mechanical properties were generated from each CT scan. The models were evaluated under single-limb stance-type loading by applying displacements incrementally to the femoral head. The FE-predicted fracture load (F-FE) was the maximum femoral head reaction force. F-FE for the in situ-derived models for the two subjects were 5.2 and 13.3% greater than for the in vitro-derived models. These results demonstrate that using CT scan data obtained in situ instead of in vitro to generate FE models can lead to substantially different predicted fracture loads. This effect must be considered when using this technology in vivo. (C) 2003 IPEM. Published by Elsevier Ltd. All rights reserved.