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Related Experiment Videos

Validation of cortical bone mineral density distribution using micro-computed tomography.

Maleeha Mashiatulla1, Ryan D Ross2, D Rick Sumner1

  • 1Department of Cell & Molecular Medicine, Rush University Medical Center, Chicago, IL, USA; Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.

Bone
|April 2, 2017
PubMed
Summary

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Micro-computed tomography (μCT) can accurately assess bone mineral density distribution (BMDD) parameters in rat bone, including mean and peak mineralization. However, μCT measurements of BMDD heterogeneity require cautious interpretation due to lower correlations.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Orthopedics

Background:

  • Bone mineral density distribution (BMDD) changes impact bone mechanical properties.
  • Current BMDD assessment methods are destructive and 2D.
  • Micro-computed tomography (μCT) offers 3D bone geometry quantification and mean tissue mineral density (TMD) measurement.

Purpose of the Study:

  • To evaluate μCT's ability to estimate six BMDD parameters in rat-sized cortical bone.
  • To validate μCT-derived BMDD parameters against backscatter scanning electron microscopy (bSEM).
  • To assess μCT's accuracy in measuring mean, heterogeneity, cutoffs, and peak mineralization.

Main Methods:

  • Utilized μCT for 3D bone analysis and bSEM as the gold standard.
  • Optimized μCT scanner settings using aluminum and hydroxyapatite phantoms.
Keywords:
Backscattered scanning electron microscopyBone mineral density distributionMicro-computed tomography (μCT)Mineralization

Related Experiment Videos

  • Tested μCT on hydroxyapatite samples and rat/various species cortical bone samples.

    • Main Results:

    • High correlations (R²≥0.92) between μCT and bSEM for all BMDD parameters in hydroxyapatite phantoms.
    • Significant correlations for mean (R²=0.65), peak (R²=0.61), lower 5% cutoff (R²=0.62), and upper 5% cutoff (R²=0.33) in bone samples.
    • No significant correlations for heterogeneity (FWHM, CoV) in bone samples (R²<0.05).

    Conclusions:

    • μCT is a viable tool for assessing mean mineralization and most BMDD parameters in rat-sized cortical bone.
    • Caution is advised when using μCT to report BMDD heterogeneity due to low reliability.
    • μCT provides a non-destructive, quantitative method for 3D bone analysis.