Pelvic Construct Prediction of Trabecular and Cortical Bone Structural Architecture

Dan T Zaharie1,2, Andrew T M Phillips3,4

  • 1The Royal British Legion Centre for Blast Injury Studies, Imperial College London, London SW7 2AZ, UK.

Insights

This study developed a mesoscale finite element model of the pelvis, simulating daily activities. The model accurately predicts bone structure, aiding in fracture analysis and surrogate design.

Area of Science:

  • Biomechanics
  • Computational modeling
  • Orthopedic research

Background:

  • The pelvis is crucial for weight transfer and organ protection.
  • Pelvic trauma has high mortality rates, necessitating better understanding and modeling.
  • Existing models may not fully capture the complex structural behavior of the pelvic construct.

Purpose of the Study:

  • To develop a mesoscale structural finite element (FE) model of the pelvic construct.
  • To simulate daily living activities and bone adaptation within the pelvis.
  • To validate the model's accuracy against existing data and assess its sensitivity.

Main Methods:

  • Utilized shell elements for cortical bone and truss elements for trabecular bone, ligaments, and joints.
  • Employed a strain-driven bone adaptation algorithm to simulate daily activities (walking, stair negotiation, sit-to-stand).
  • Validated the adapted model against CT scans and compared strain predictions with a continuum CT-derived model.

Main Results:

  • The adapted model showed good qualitative agreement with CT scans regarding cortical thickness and trabecular architecture.
  • The model demonstrated high sensitivity to target strain changes, impacting bone volume predictions.
  • Strain predictions from the structural model correlated well (r=0.813, 0.809) with a continuum CT-derived model.

Conclusions:

  • The developed mesoscale FE model accurately represents pelvic structure and adaptation.
  • The model is a valuable tool for applications including fracture modeling and the design of surrogates.
  • Further research can leverage this model for advanced orthopedic applications and injury analysis.

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