Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip.
Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip.
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DOI：
10.1007/s10439-010-0196-y
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发表时间：
2011-02
影响因子：
3.8
通讯作者：
Amin S
中科院分区：
文献类型：
--
作者：
Dragomir-Daescu D;Op Den Buijs J;McEligot S;Dai Y;Entwistle RC;Salas C;Melton LJ 3rd;Bennet KE;Khosla S;Amin S
基于定量计算机断层扫描的股骨近端刚度和强度有限元分析（QCT/FEA）在临床上用于评估股骨近端（髋部）骨折的可能性，这需要统一的建模程序、在预测骨力学性能方面的一致性，以及用代表典型髋部骨折（特别是髋部侧面摔倒）的实际测试数据进行验证。因此，我们使用两组（每组n = 9）骨密度从正常到骨质疏松不等的尸体股骨，来构建、优化和验证一类新的QCT/FEA模型，用于模拟髋部侧面摔倒加载条件下的髋部骨折。第一组股骨的有限元模型收敛要求促使我们创建了一种新的网格划分策略以及一个从QCT图像对股骨近端几何形状和材料特性进行建模的稳健流程。我们使用第二组股骨对从第一组得出的模型参数进行交叉验证。通过使用专门设计的夹具、测力传感器和高速视频采集使股骨骨折，对优化后的模型进行实验验证。对骨折的股骨进行CT图像重建以对骨折进行分类。预测的刚度（交叉验证R² = 0.87）、骨折载荷（交叉验证R² = 0.85）以及骨折模式（83%一致）与实验数据相关性良好。
Clinical implementation of quantitative computed tomography-based finite element analysis (QCT/FEA) of proximal femur stiffness and strength to assess the likelihood of proximal femur (hip) fractures requires a unified modeling procedure, consistency in predicting bone mechanical properties, and validation with realistic test data that represent typical hip fractures, specifically, a sideways fall on the hip. We, therefore, used two sets (n = 9, each) of cadaveric femora with bone densities varying from normal to osteoporotic to build, refine, and validate a new class of QCT/FEA models for hip fracture under loading conditions that simulate a sideways fall on the hip. Convergence requirements of finite element models of the first set of femora led to the creation of a new meshing strategy and a robust process to model proximal femur geometry and material properties from QCT images. We used a second set of femora to cross-validate the model parameters derived from the first set. Refined models were validated experimentally by fracturing femora using specially designed fixtures, load cells, and high speed video capture. CT image reconstructions of fractured femora were created to classify the fractures. The predicted stiffness (cross-validation R2 = 0.87), fracture load (cross-validation R2 = 0.85), and fracture patterns (83% agreement) correlated well with experimental data.
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影响因子：
6.2
作者：
Orwoll, Eric S.;Marshall, Lynn M.;Keaveny, Tony M.
通讯作者：
Keaveny, Tony M.
影响因子：
2.4
作者：
GOULET, RW;GOLDSTEIN, SA;FELDKAMP, LA
通讯作者：
FELDKAMP, LA
影响因子：
2.4
作者：
Keyak, JH;Rossi, SA;Skinner, HB
通讯作者：
Skinner, HB
影响因子：
4.1
作者：
Bessho, Masahiko;Ohnishi, Isao;Nakamura, Kozo
通讯作者：
Nakamura, Kozo
影响因子：
2.4
作者：
Bessho, Masahiko;Ohnishi, Isao;Nakamura, Kozo
通讯作者：
Nakamura, Kozo