1Department of Orthodontics, School of Dentistry, University of Alberta, Edmonton Clinic Health Academy, 5th floor, 11405-87 Avenue NW, Edmonton, Alberta, Canada.
Department of Orthodontics, School of Dentistry, University of Alberta, Edmonton Clinic Health Academy, 5th floor, 11405-87 Avenue NW, Edmonton, Alberta, Canada.
Dentomaxillofac Radiol. 2020 Jul;49(5):20190150. doi: 10.1259/dmfr.20190150. Epub 2019 Dec 3.
To critically synthesize the literature surrounding segmentation of the mandibular condyle using three-dimensional imaging modalities. Specifically, analyzing the reliability and accuracy of methods used for three-dimensional condyle segmentation.
Three electronic databases were searched for studies reporting the reliability and accuracy of various methods used to segment mandibular condyles from three-dimensional imaging modalities. Two authors independently reviewed articles for eligibility and data extraction.
Nine studies fulfilled the inclusion criteria. Eight studies assessed the condylar segmentation from CBCT images and limited studies were available on non-CBCT three-dimensional imaging modalities. Threshold-based volume segmentation, manual segmentation, and semi-automatic segmentation techniques were presented. Threshold-based volume segmentation reported higher accuracy when completed by an experienced technician compared to clinicians. Adequate reliability and accuracy were observed in manual segmentation. Although adequate reliability was reported in semi-automatic segmentation, data on its accuracy were lacking.
A definitive conclusion with regards to which current technique is most reliable and accurate to efficiently segment the mandibular condyle cannot be made with the currently available evidence. This is especially true in terms of non-CBCT imaging modalities with very limited literature available.
通过三维成像模式对下颌骨髁突进行分割的文献进行批判性综合。具体来说,分析用于三维髁突分割的方法的可靠性和准确性。
在三个电子数据库中搜索了报告各种用于从三维成像模式分割下颌骨髁突的方法的可靠性和准确性的研究。两位作者独立审查了文章的合格性和数据提取。
有 9 项研究符合纳入标准。八项研究评估了 CBCT 图像的髁突分割,并且仅有有限的关于非 CBCT 三维成像模式的研究。提出了基于阈值的体积分割、手动分割和半自动分割技术。与临床医生相比,经验丰富的技术人员完成基于阈值的体积分割时,准确性更高。手动分割的可靠性和准确性都很好。尽管半自动分割的可靠性报告良好,但缺乏其准确性的数据。
鉴于目前的证据,不能确定哪种技术是最可靠和最准确的,无法有效地分割下颌骨髁突。对于非常有限的文献中可用的非 CBCT 成像模式尤其如此。