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The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system

机译:使用改良的Huddart-Bodenham评分系统对单侧唇left裂牙弓关系自动评分的方法的有效性和可靠性

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摘要

: To evaluate an automated software tool for the assessment of dental arch relationships using the modified Huddart and Bodenham index.Design: 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 (R700, 3Shape, Copenhagen, Denmark). The digital models were MHB scored visually (Orthoanalyzer, 3Shape, Copenhagen, Denmark) and landmarked for automatic scoring using a Rhino software plug-in (Rhinoceros, version 5, www.rhino3d.co.uk). Scoring/landmarking was undertaken by three observers and repeated after one 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 one 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 (P0.05). 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.
机译::使用改良的Huddart和Bodenham指数评估评估牙弓关系的自动化软件设计:队列研究的43个9-21岁受试者的模型与UCLP以及十个GOSLON参考模型集:: 53套石膏使用MHB指数对模型进行评分并进行扫描(R700,3Shape,哥本哈根,丹麦)。对数字模型进行了MHB视觉评分(Orthoanalyzer,3Shape,丹麦哥本哈根),并使用Rhino软件插件(Rhinoceros,版本5,www.rhino3d.co.uk)进行了自动评分。由三名观察员进行计分/标志性比赛,一个月后重复进行。使用Cronbach的Alpha和组内相关系数(ICC)(阈值> 0.9)测试了观察者之间和观察者之间的可重复性。 Bland-Altman图显示了每种模型格式的观察者之间的一致性。分别使用Cronbach's alpha和t检验分别对两个月间隔两次进行数字化处理的28个模型的x,y和z坐标来确定具有数字地标识别错误的随机误差和系统误差。:运营商内部地标识别非常出色(Cronbach's两次会话之间无差异(P> 0.05)。观察者内部的可重复性对于所有检查者都非常出色(Cronbach的alpha和ICC 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(0.989)和Orthoanalyzer(0.979),而Bland-Altman绘图证实,该自动化软件没有系统偏差,而且评分的一致性更高。该软件工具是评估UCLP患者上颌弓缩窄的有效,可重复且最客观的方法。

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