TY - JOUR
T1 - Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip
AU - Dragomir-Daescu, Dan
AU - Op Den Buijs, Jorn
AU - McEligot, Sean
AU - Dai, Yifei
AU - Entwistle, Rachel C.
AU - Salas, Christina
AU - Melton, L. Joseph
AU - Bennet, Kevin E.
AU - Khosla, Sundeep
AU - Amin, Shreyasee
N1 - Funding Information:
The authors thank Dr. Mark Bolander, Jim Bronk, Vincent Lambert, Dr. Xiaoliang Qin, Alexander Cong, Mike Burke, Brant Newman, Larry Berglund, Dr. Jodie Christner, Dr. Cynthia McCollough, and Elizabeth Atkinson for their valuable contributions to this study. This study was financially supported by the Grainger Foundation: Grainger Innovation Fund and NIH grant AR027065Z-30S1. The authors thank the Musculoskeletal Transplant Foundation for providing the specimens, and the Opus CT Imaging Resource of Mayo Clinic (NIH construction grant RR018898) for CT imaging of the femora.
PY - 2011/2
Y1 - 2011/2
N2 - 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.
AB - 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.
KW - Bone strength
KW - Finite element analysis
KW - Hip fracture
KW - Osteoporosis
KW - Proximal femur
KW - Quantitative computed tomography
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U2 - 10.1007/s10439-010-0196-y
DO - 10.1007/s10439-010-0196-y
M3 - Article
C2 - 21052839
AN - SCOPUS:79951556684
SN - 0090-6964
VL - 39
SP - 742
EP - 755
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
IS - 2
ER -