{"title":"Stereology volume analysis to evaluate teeth’s root using CBCT images","authors":"A. Fadili, Abdelali Halimi, H. Benyahia, F. Zaoui","doi":"10.2147/RMI.S153169","DOIUrl":null,"url":null,"abstract":"Purpose: The purpose of the present study was to evaluate a semiautomated segmentation tool designated for the volume measurements of teeth root; this method is based on three-dimensional and focused to follow-up the root’s volume when an orthodontic treatment occurred. Materials and methods: In order to evaluate a semiautomated segmentation tool, a cone beam computed tomography (CBCT) was selected with 20 intact teeth (10 maxillary and 10 mandibular teeth), CBCT images were imported into the ImageJ software, and the root volumes were measured using two methods (the semiautomated segmentation and the manual segmenta-tion). Both segmentations are carried out by two experts; the manual segmentation served as a reference method and considered as the “gold standard”. The data were analyzed using the Bland–Altman analysis to compare the agreement between methods, and the intraclass correlation coefficient (ICC) was used to assess the interobserver reliability. Results: The Bland–Altman analysis revealed the agreement between measurements on semiautomated segmentation and manual segmentation, with a mean bias of –2.09 mm 3 and the 95% limits of agreement of –11.38 to 7.21 mm 3 . The ICC was 0.999 for semiautomated segmentation method and 0.999 for manual segmentation method. Conclusion: The use of stereology employing the ImageJ software and CBCT images provide an accurate and reliable semiautomated segmentation, leading to an approach of volume quantitative analysis to evaluate and follow-up the root’s volume when orthodontic treatment occurred. Further clinical studies are necessary to explore this method.","PeriodicalId":39053,"journal":{"name":"Reports in Medical Imaging","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/RMI.S153169","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reports in Medical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/RMI.S153169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose: The purpose of the present study was to evaluate a semiautomated segmentation tool designated for the volume measurements of teeth root; this method is based on three-dimensional and focused to follow-up the root’s volume when an orthodontic treatment occurred. Materials and methods: In order to evaluate a semiautomated segmentation tool, a cone beam computed tomography (CBCT) was selected with 20 intact teeth (10 maxillary and 10 mandibular teeth), CBCT images were imported into the ImageJ software, and the root volumes were measured using two methods (the semiautomated segmentation and the manual segmenta-tion). Both segmentations are carried out by two experts; the manual segmentation served as a reference method and considered as the “gold standard”. The data were analyzed using the Bland–Altman analysis to compare the agreement between methods, and the intraclass correlation coefficient (ICC) was used to assess the interobserver reliability. Results: The Bland–Altman analysis revealed the agreement between measurements on semiautomated segmentation and manual segmentation, with a mean bias of –2.09 mm 3 and the 95% limits of agreement of –11.38 to 7.21 mm 3 . The ICC was 0.999 for semiautomated segmentation method and 0.999 for manual segmentation method. Conclusion: The use of stereology employing the ImageJ software and CBCT images provide an accurate and reliable semiautomated segmentation, leading to an approach of volume quantitative analysis to evaluate and follow-up the root’s volume when orthodontic treatment occurred. Further clinical studies are necessary to explore this method.
目的:本研究的目的是评估一种用于牙根体积测量的半自动分割工具;这种方法是基于三维的,重点是在进行正畸治疗时跟踪牙根的体积。材料和方法:为了评估半自动分割工具,选择20颗完整牙齿(10颗上颌和10颗下颌牙齿)的锥形束计算机断层扫描(CBCT),将CBCT图像导入ImageJ软件,并使用两种方法(半自动分割和手动分割)测量根体积。这两个细分都由两名专家进行;手工分割是一种参考方法,被认为是黄金标准。使用Bland–Altman分析对数据进行分析,以比较方法之间的一致性,并使用组内相关系数(ICC)评估观察者间的可靠性。结果:Bland–Altman分析显示,半自动分割和手动分割的测量结果一致,平均偏差为–2.09 mm 3,95%的一致性极限为–11.38至7.21 mm 3。半自动分割方法和手动分割方法的ICC分别为0.999和0.999。结论:使用ImageJ软件和CBCT图像的体视学提供了准确可靠的半自动分割,从而提供了一种体积定量分析的方法来评估和跟踪正畸治疗时牙根的体积。需要进一步的临床研究来探索这种方法。