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This correlation improved significantly (p < 0.0001) when the CT-based Structural Rigidity Analysis (CTRA) minimum axial rigidity was correlated to the mechanically-derived minimum axial rigidity results (R = 0.84).
It appears that minimum axial rigidity is a better model for measuring bone rigidity than average axial rigidity.
As shown, minimum axial rigidity appears to be a better model for measuring bone rigidity than average axial rigidity.
The CTRA based average and minimum axial rigidities were compared to average and minimum axial rigidity values obtained from mechanical testing.
Minimum axial rigidity produced a stronger correlation with mechanical testing based minimum rigidity results (R = 0.84) than their average counterparts (R = 0.74).
This correlation improved significantly when the CTRA-based EAMIN was correlated with the mechanical testing based minimum axial rigidity results (EAMIN-CTRA = (1.052 × EAMIN-mech) + 69.17; F = 297.6, p < 0.0001; Pearson correlation = 0.919 and R = 0.84) (Fig. 5).
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The CTRA-based average and minimum axial rigidities were correlated with the mechanical testing based -average and minimum axial rigidities using a paired t-test analysis (p = 0.37 and 0.18).
The CTRA average and minimum axial rigidities were correlated with the mechanically-derived average and minimum axial rigidities using paired t-test analysis (p = 0.37 and p = 0.18, respectively).
Cortical and trabecular bone segments from each animal underwent micro-CT to assess their average and minimum axial rigidities using structural rigidity analysis.
A linear regression model was applied to determine whether average and minimum axial rigidities assessed using µCT-based Structural Rigidity Analysis correlate with average and minimum EA obtained from mechanical testing.
Given the ability of CTRA to detect structural and -material changes within trabecular and cortical bone, we hypothesised that CTRA can accurately assess the average and minimum axial rigidities of cortical and cancellous bones affected by metabolic diseases.
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