利用断层扫描方法和抗压强度估算评估骨显微结构参数

IF 0.3 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Sema Kaya, Alaettin Koç
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引用次数: 0

摘要

研究目的本研究旨在通过微型计算机断层扫描(µCT)、锥束计算机断层扫描(CBCT)和计算机断层扫描(CT)评估下颌骨的微观结构,并根据这些方法获得的数值估算骨的抗压强度。研究方法用 µCT 锥形束计算机断层扫描和计算机断层扫描扫描从活体外绵羊下颌骨获得的 30 个标本。还对这些标本进行了压缩测试,并计算出压缩强度值。使用 ImageJ 软件对形态计量参数进行评估,使用 Bland-Altman 上限下限一致性和 ICC 系数评估所用断层扫描方法与金标准之间的一致性。根据放射形态测量参数进行线性和多元逐步回归分析,计算压缩强度值。统计显著性水平为 0.05。结果CBCT 评估的骨表面/总体积、骨体积/总体积和无齿度参数以及 CT 评估的分形尺寸参数与金标准方法 µCT 在统计学上有显著的一致性。通过 µCT 获得的骨量/总体积和无电阻度参数(R2:0.75),通过 CT 获得的骨量/总体积、无电阻度、连接密度参数(R2:0.62)和结构模型指数参数(R2:0.13)可用于预测抗压强度值。结论通过 CBCT 和 µCT 方法可以估算出理想水平的骨压缩强度。骨体积/总体积和抗扭曲程度参数不仅是 µCT 方法,也是 CBCT 方法中骨力学性能的重要决定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Bone Microstructure Parameters by Using Tomographic Methods and Compressive Strength Estimation
Objective: The aim of this study was to evaluate the microstructure of the mandible by micro computed tomography (µCT), 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 µCT 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 µCT. Bone Volume/Total Volume and Degree of Anistoropy parameters obtained with µCT (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 µCT methods in a desired level. Bone Volume/Total Volume and Degree of Anistoropy parameters are significant determinants of bone mechanical property in not only µCT but also CBCT method.
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来源期刊
Clinical and Experimental Health Sciences
Clinical and Experimental Health Sciences MEDICINE, RESEARCH & EXPERIMENTAL-
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