Abstract

MicroCT-based morphological parameters are often used to quantify the structural properties of trabecular bone. Various software tools are available for calculating these parameters. Studies that examine the comparability of their results are rare. Four different software tools were used to analyse a set of 701 microCT images from human trabecular bone samples. Bone volume to total volume (BV/TV), bone surface (BS), trabecular thickness (Tb. Th.) and degree of anisotropy (DA) were evaluated. BV/TV shows very low difference (−0.18 ± 0.15%). The difference in BS could be reduced below 5% if artificial cut surfaces are not included. Tb. Th. and Tb. Sp. show differences of maximal −12% although the same theoretical background is used. DA is most critical with differences from 4.75 ± 3.70% (medtool vs. Scanco), over −38.61 ± 13.15% (BoneJ vs. Scanco), up to 80.52 ± 50.04% (medtool vs. BoneJ). Quantitative results should be considered with caution, especially when comparing different studies. Introducing standardization procedures and the disclosure of underlying algorithms and their respective implementations could improve this issue.

Highlights

  • Quantitative bone morphology based on micro-computer tomography allows the assessment of structural and mechanical properties from 3D trabecular bone structures

  • The mean differences are shown as solid lines in the Bland-Altman plots, while dashed lines show a standard deviation of ± 1.96

  • Four frequently used software tools for μCT morphology assessment were used to analyse a large set of trabecular bone images

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Summary

Introduction

Quantitative bone morphology based on micro-computer tomography (microCT) allows the assessment of structural and mechanical properties from 3D trabecular bone structures. Bone volume to total volume (BV/TV) and degree of anisotropy (DA) have showed the ability to predict trabecular bone stiffness and yield strength Maquer et al (2015); Musy et al (2017). Variables such as trabecular thickness (Tb. Th.), trabecular number (Tb. N.) and bone surface (BS) are frequently used to quantify changes in bone remodelling simulation Schulte et al (2013); Adachi et al (2001).

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