Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip

Dan Dragomir-Daescu, Jorn Op Den Buijs, Sean McEligot, Yifei Dai, Rachel C. Entwistle, Christina Salas, L. Joseph Melton, Kevin E. Bennet, Sundeep Khosla, Shreyasee Amin

Research output: Contribution to journalArticlepeer-review

164 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)742-755
Number of pages14
JournalAnnals of Biomedical Engineering
Issue number2
StatePublished - Feb 2011


  • Bone strength
  • Finite element analysis
  • Hip fracture
  • Osteoporosis
  • Proximal femur
  • Quantitative computed tomography

ASJC Scopus subject areas

  • Biomedical Engineering


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