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Harmonizing finite element modelling for non-invasive strength estimation by high-resolution peripheral quantitative

Danielle E Whittier1, Sarah L Manske1, Douglas P Kiel2

  • 1McCaig Institute for Bone and Joint Health and Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Journal of Biomechanics
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

Finite element (FE) models using high-resolution peripheral quantitative computed tomography (HR-pQCT) can now be harmonized across different scanners and parameters. This study provides methods to compare bone mechanical properties derived from various HR-pQCT systems and models.

Keywords:
Bone microarchitectureBone mineral densityBone strengthFinite element analysisHigh-resolution peripheral quantitative computed tomographyMicro-FE

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Computational Modeling

Background:

  • Finite element (FE) models based on high-resolution peripheral quantitative computed tomography (HR-pQCT) are crucial for assessing bone mechanical properties.
  • Variations in tissue properties and boundary conditions across laboratories hinder the comparison of FE results.
  • Advancements in second-generation HR-pQCT systems, with higher resolution and larger regions of interest (ROIs), present new challenges for result harmonization.

Purpose of the Study:

  • To establish relationships between FE results, boundary conditions, and tissue properties for first-generation HR-pQCT.
  • To determine appropriate model parameters for second-generation HR-pQCT systems.
  • To harmonize FE results across different HR-pQCT generations and modeling parameters.

Main Methods:

  • Implemented common boundary conditions and tissue properties on a large cohort (N=1371) of first-generation HR-pQCT data.
  • Utilized cadaver radii scanned on both HR-pQCT generations with matched ROIs to back-calculate tissue modulus.
  • Performed in vivo scans (N=61) on both HR-pQCT generations to assess the impact of larger ROIs.

Main Results:

  • Highly linear relationships (R2 > 0.99) were observed for yield strength and reaction force between FE models.
  • A tissue modulus of 8748 MPa for second-generation HR-pQCT was calculated to match bone yield strength and reaction force from 6829 MPa in first-generation HR-pQCT.
  • In vivo scans showed stronger bone outcome measures with the larger ROI of the second-generation system, indicating that direct conversion of FE results across generations without matching ROIs is not advisable.

Conclusions:

  • This study provides a framework for harmonizing FE results across different HR-pQCT systems and modeling parameters.
  • The findings enable more reliable comparisons of bone mechanical properties derived from various FE models and scanner generations.
  • Care must be taken when comparing results from different HR-pQCT generations, especially concerning the region of interest (ROI).