Robust QCT/FEA Models of Proximal Femur Stiffness and Fracture Load During a Sideways Fall on the Hip

被引:194
作者
Dragomir-Daescu, Dan [1 ,2 ]
Den Buijs, Jorn Op [7 ]
McEligot, Sean [1 ]
Dai, Yifei [1 ]
Entwistle, Rachel C. [1 ]
Salas, Christina [1 ]
Melton, L. Joseph, III [2 ,3 ]
Bennet, Kevin E. [1 ]
Khosla, Sundeep [2 ,4 ,5 ]
Amin, Shreyasee [2 ,3 ,6 ]
机构
[1] Mayo Clin, Div Engn, Rochester, MN 55905 USA
[2] Mayo Clin, Coll Med, Rochester, MN 55905 USA
[3] Mayo Clin, Dept Hlth Sci Res, Div Epidemiol, Rochester, MN 55905 USA
[4] Mayo Clin, Dept Med, Div Endocrinol Diabet Metab, Rochester, MN 55905 USA
[5] Mayo Clin, Dept Med, Div Nutr, Rochester, MN 55905 USA
[6] Mayo Clin, Dept Med, Div Rheumatol, Rochester, MN 55905 USA
[7] Univ Twente, Dept Elect Engn Math & Comp Sci, NL-7500 AE Enschede, Netherlands
关键词
Finite element analysis; Bone strength; Hip fracture; Osteoporosis; Quantitative computed tomography; Proximal femur; FINITE-ELEMENT MODELS; TRABECULAR BONE; MECHANICAL-PROPERTIES; LONG BONES; PREDICTION; STRENGTH; DENSITY; SITE; STRAIN; RISK;
D O I
10.1007/s10439-010-0196-y
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
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 R(2) = 0.87), fracture load (cross-validation R(2) = 0.85), and fracture patterns (83% agreement) correlated well with experimental data.
引用
收藏
页码:742 / 755
页数:14
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