QCT/FEA predictions of femoral stiffness are strongly affected by boundary condition modeling

Timothy Rossman, Vinod Kushvaha, Dan Dragomir-Daescu

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


Quantitative computed tomography-based finite element models of proximal femora must be validated with cadaveric experiments before using them to assess fracture risk in osteoporotic patients. During validation, it is essential to carefully assess whether the boundary condition (BC) modeling matches the experimental conditions. This study evaluated proximal femur stiffness results predicted by six different BC methods on a sample of 30 cadaveric femora and compared the predictions with experimental data. The average stiffness varied by 280% among the six BCs. Compared with experimental data, the predictions ranged from overestimating the average stiffness by 65% to underestimating it by 41%. In addition, we found that the BC that distributed the load to the contact surfaces similar to the expected contact mechanics predictions had the best agreement with experimental stiffness. We concluded that BC modeling introduced large variations in proximal femora stiffness predictions.

Original languageEnglish (US)
Pages (from-to)208-216
Number of pages9
JournalComputer Methods in Biomechanics and Biomedical Engineering
Issue number2
StatePublished - Jan 25 2016


  • hip fracture
  • osteoporosis
  • quantitative computed tomography

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications


Dive into the research topics of 'QCT/FEA predictions of femoral stiffness are strongly affected by boundary condition modeling'. Together they form a unique fingerprint.

Cite this