Evaluation of Bone Microstructure Parameters by Using Tomographic Methods and Compressive Strength Estimation

IF 0.3 Q4 MEDICINE, RESEARCH & EXPERIMENTAL Clinical and Experimental Health Sciences Pub Date : 2024-01-18 DOI:10.33808/clinexphealthsci.1330362
Sema Kaya, Alaettin Koç
{"title":"Evaluation of Bone Microstructure Parameters by Using Tomographic Methods and Compressive Strength Estimation","authors":"Sema Kaya, Alaettin Koç","doi":"10.33808/clinexphealthsci.1330362","DOIUrl":null,"url":null,"abstract":"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. \nMethods: 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. \nResults: 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. \nConclusion: 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.","PeriodicalId":10192,"journal":{"name":"Clinical and Experimental Health Sciences","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33808/clinexphealthsci.1330362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用断层扫描方法和抗压强度估算评估骨显微结构参数
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical and Experimental Health Sciences
Clinical and Experimental Health Sciences MEDICINE, RESEARCH & EXPERIMENTAL-
自引率
0.00%
发文量
73
期刊最新文献
Presumptive Molecular Interconnections Between COVID-19 And Huntington’s Disease Enhanced Enzyme Inhibitory Effects of the Nanohybrid Eggplant Extract: An Unusual Pharmaceutical Form for Medicinal Plant The Validity and Reliability of the Postpartum Symptom Inventory in Turkish Women The Effect of Sex Education and Counseling Based on the Ex-PLISSIT Model on Sexual Life in Primigravidas Ketogenic Diet Interventions in Inborn Errors of Metabolism: A Review Article
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1