Division of Orthodontics, School of Dentistry, University of Alberta, Edmonton, Canada.
Faculty of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. Department of Orthodontics and Pediatric Dentistry, School of Dentistry, University of Michigan, Ann Arbor, USA.
Head Face Med. 2020 Jan 27;16(1):1. doi: 10.1186/s13005-020-0215-7.
Cone-Beam Computed Tomography (CBCT) images can be superimposed, allowing three-dimensional (3D) evaluation of craniofacial growth/treatment effects. Limitations of 3D superimposition techniques are related to imaging quality, software/hardware performance, reference areas chosen, and landmark points/volumes identification errors. The aims of this research are to determine/compare the intra-rater reliability generated by three 3D superimposition methods using CBCT images, and compare the changes observed in treated cases by these methods.
Thirty-six growing individuals (11-14 years old) were selected from patients that received orthodontic treatment. Before and after treatment (average 24 months apart) CBCTs were analyzed using three superimposition methods. The superimposed scans with the two voxel-based methods were used to construct surface models and quantify differences using SlicerCMF software, while distances in the landmark-derived method were calculated using Excel. 3D linear measurements of the models superimposed with each method were then compared.
Repeated measurements with each method separately presented good to excellent intraclass correlation coefficient (ICC ≥ 0.825). ICC values were the lowest when comparing the landmark-based method and both voxel-based methods. Moderate to excellent agreement was observed when comparing the voxel-based methods against each other. The landmark-based method generated the highest measurement error.
Findings indicate good to excellent intra-examiner reliability of the three 3D superimposition methods when assessed individually. However, when assessing reliability among the three methods, ICC demonstrated less powerful agreement. The measurements with two of the three methods (CMFreg/Slicer and Dolphin) showed similar mean differences; however, the accuracy of the results could not be determined.
锥形束 CT(CBCT)图像可以进行叠加,从而可以对颅面生长/治疗效果进行三维(3D)评估。3D 叠加技术的局限性与成像质量、软件/硬件性能、选择的参考区域以及标志点/体积识别错误有关。本研究的目的是确定/比较三种使用 CBCT 图像的 3D 叠加方法产生的内部评估者可靠性,并比较这些方法观察到的治疗病例的变化。
从接受正畸治疗的患者中选择 36 名生长中的个体(11-14 岁)。在治疗前后(平均相隔 24 个月)对 CBCT 进行分析,使用三种叠加方法。使用两种基于体素的方法叠加的叠加扫描用于构建表面模型,并使用 SlicerCMF 软件量化差异,而基于标志点的方法中使用 Excel 计算距离。然后比较用每种方法叠加的模型的 3D 线性测量值。
单独使用每种方法进行重复测量时,组内相关系数(ICC≥0.825)均表现出良好到极好。当将基于标志点的方法与两种基于体素的方法进行比较时,ICC 值最低。当将基于体素的方法相互比较时,观察到中度到极好的一致性。基于标志点的方法产生的测量误差最大。
研究结果表明,当单独评估时,三种 3D 叠加方法具有良好到极好的内部评估者可靠性。然而,当评估三种方法之间的可靠性时,ICC 显示出较弱的一致性。三种方法中的两种(CMFreg/Slicer 和 Dolphin)的测量值显示出相似的平均差异;然而,无法确定结果的准确性。