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Predicting mouse vertebra strength with micro-computed tomography-derived finite element analysis.

Jeffry S Nyman1, Sasidhar Uppuganti2, Alexander J Makowski3

  • 1Department of Veterans Affairs, Tennessee Valley Healthcare System , Nashville, TN, USA ; Department of Orthopaedic Surgery and Rehabilitation, Vanderbilt University, Medical Center East , Nashville, TN, USA ; Department of Biomedical Engineering, Vanderbilt University Medical Center , Nashville, TN, USA ; Center for Bone Biology, Vanderbilt University Medical Center , Nashville, TN, USA.

Bonekey Reports
|April 25, 2015
PubMed
Summary
This summary is machine-generated.

Finite element analysis (FEA) using microCT (μFEA) can assess mouse vertebral body strength. Parametric analysis validated μFEA models, showing they can detect significant bone strength differences in pre-clinical studies.

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Area of Science:

  • Biomechanics
  • Pre-clinical Research
  • Medical Imaging

Background:

  • Finite element analysis (FEA) from computed tomography (CT) images aids pre-clinical rodent studies on vertebral body (VB) strength.
  • Validation of microCT-derived FEA (μFEA) against experimental mouse VB strength is lacking.

Purpose of the Study:

  • To determine if elastic μFEAs with linear failure criteria can accurately assess mouse VB strength.
  • To explore material and failure definition parameters for μFEA validation.

Main Methods:

  • Micro-computed tomography (μCT) scans of mouse VBs at 12-μm voxel size.
  • Direct conversion of voxels to 8-node hexahedral elements for FEA.
  • Parametric analysis of homogenous and inhomogeneous tissue moduli, failure volume, and equivalent failure strain.

Main Results:

  • R-squared values of 62.3% (treatment study) and 85.3% (genetic study) were achieved with specific homogenous material and failure parameters.
  • Inhomogeneous tissue density-specific moduli improved prediction accuracy (R-squared) compared to uniform moduli.
  • Model assumptions did not prevent μFEA from detecting strength differences >20% between experimental groups.

Conclusions:

  • Elastic μFEA with optimized linear failure criteria can reasonably assess mouse VB strength.
  • μFEA is a valuable tool for pre-clinical studies evaluating bone strength changes.
  • Accurate VB strength assessment requires careful selection of material and failure parameters.