Evaluation of Bone Microstructure Parameters by Using Tomographic Methods and Compressive Strength Estimation
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Date
2024
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Publisher
Marmara Univ, inst Health Sciences
Abstract
Objective: The aim of this study was to evaluate the microstructure of the mandible by micro computed tomography (mu CT), cone beam computed tomography (CBCT) and computed tomography (CT) and to estimate the compressive strength of the bone based on the values obtained by these methods. Methods: Thirty specimens obtained from ex-vivo sheep mandible were scanned by mu CT cone beam computed tomography and computed tomography. These specimens were also subjected to compression testing and compression strength values were calculated. Morphometric parameters were evaluated using ImageJ software Bland-Altman lower upper bound agreement and ICC coefficient were used to evaluate the agreement between the tomography methods used and the gold standard. Linear and multivariate stepwise regression analysis was performed to calculate the compression strength value based on the radiomorphometric parameters. Statistical significance level was accepted as .05. Results: Bone Surface/Total Volume, Bone Volume/Total Volume and Degree of Anistoropy parameters evaluated by CBCT and Fractal Dimension parameter evaluated by CT showed a statistically significant agreement with the gold standard method mu CT. Bone Volume/Total Volume and Degree of Anistoropy parameters obtained with mu CT (R2:0.75), Bone Volume/Total Volume, Degree of Anistoropy , Connectivity Density parameters (R2:0.62), and the Structure Model Index parameter (R2:0.13) obtained by CT can be used to predict the compression strength value. Conclusion: Bone compression strength can be estimated by CBCT and mu CT methods in a desired level. Bone Volume/Total Volume and Degree of Anistoropy parameters are significant determinants of bone mechanical property in not only mu CT but also CBCT method.
Description
Kaya, Sema/0000-0002-6306-3901
ORCID
Keywords
Computed Tomography, Cone Beam Computed Tomography, Micro Computed Tomography, Compression Strength
Turkish CoHE Thesis Center URL
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Source
Volume
14
Issue
2
Start Page
446
End Page
453