Martin Catherine B, Ma Xinhui, McIntyre Grant T, Wang Weijie, Lin Ping, Chalmers Elinor V, Mossey Peter A
Orthodontic Department, University of Dundee Dental Hospital and School,
Department of Computer Science, University of Hull.
Eur J Orthod. 2016 Aug;38(4):353-8. doi: 10.1093/ejo/cjw031. Epub 2016 Apr 22.
To evaluate an automated software tool for the assessment of dental arch relationships using the modified Huddart and Bodenham (MHB) index.
Cohort of 43 models of subjects aged 9-21 with UCLP and the ten GOSLON reference models sets.
The 53 sets of plaster models were scored using the MHB index and scanned with a benchtop scanner. The digital models were MHB scored visually using a commercial software program and landmarked for automatic scoring using a software plug-in. Scoring/landmarking was undertaken by three observers and repeated after 1 month. Intra- and inter-observer reproducibility were tested using Cronbach's alpha and intraclass correlation coefficients (ICC) (threshold > 0.9). Bland-Altman plots demonstrated inter-observer agreement for each model format. Random and systematic error with digital landmark identification error were determined using the x, y, and z co-ordinates for 28 models digitized twice 1 month apart using Cronbach's alpha and a t-test, respectively.
Intra-operator landmark identification was excellent (Cronbach's alpha = 0.933) with no differences between sessions (P > 0.05). Intra-observer reproducibility was excellent for all examiners (Cronbach's alpha and ICC 0.986-0.988). Inter-observer reproducibility was highest for the software plug-in (0.991), followed by plaster (0.989) and OrthoAnalyzer (0.979) and Bland-Altman plots confirmed no systematic bias and greater consistency of scores with the automated software.
The automated MHB software tool is valid, reproducible, and the most objective method of assessing maxillary arch constriction for patients with UCLP.
The authors declare no conflict of interest or financial relationship with any organization or software used within the study.
使用改良的哈达特和博登纳姆(MHB)指数评估一种用于评估牙弓关系的自动化软件工具。
对43个年龄在9至21岁的单侧完全性唇腭裂(UCLP)患者模型以及十组戈斯隆参考模型进行队列研究。
使用MHB指数对53组石膏模型进行评分,并使用台式扫描仪进行扫描。使用商业软件程序对数字模型进行视觉MHB评分,并使用软件插件进行地标标记以进行自动评分。评分/地标标记由三名观察者进行,并在1个月后重复进行。使用克朗巴赫α系数和组内相关系数(ICC)(阈值>0.9)测试观察者内和观察者间的可重复性。布兰德-奥特曼图展示了每种模型格式的观察者间一致性。使用克朗巴赫α系数和t检验,分别根据28个在1个月内数字化两次的模型的x、y和z坐标确定数字地标识别误差的随机误差和系统误差。
操作者内部地标识别情况极佳(克朗巴赫α系数=0.933),各时段之间无差异(P>0.05)。所有检查者的观察者内可重复性均极佳(克朗巴赫α系数和ICC为0.986 - 0.988)。软件插件的观察者间可重复性最高(0.991),其次是石膏模型(0.989)和正畸分析软件(0.979),布兰德-奥特曼图证实无系统偏差,且自动化软件的评分一致性更高。
自动化MHB软件工具是评估单侧完全性唇腭裂患者上颌弓缩窄的有效、可重复且最客观的方法。
作者声明与研究中使用的任何组织或软件不存在利益冲突或财务关系。