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Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population

机译:马来西亚人群侧位头颅错合畸形的几何形态计量学分析

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摘要

Geometric morphometrics is a new approach for shape identification in diagnosis of malocclusion. Lateral cephalogram is an X-ray that taken for diagnosing malocclusion in dental setting. The aim of this study was to determine the differences of craniofacial shape in malocclusion by application of two-dimensional geometric morphometrics and to compile the database of malocclusion in adult Malaysian population. Lateral cephalogram radiographs of 381 adults Malaysia (age 18–45) were retrieved retrospectively and assigned to three groups according to their occlusion: class I, class II, and class III. The geometric morphometric shape study incorporated nine landmarks and was analyzed in details using tpsUtil p software. Geometric morphometric analysis such was done using MorphoJ software. The results of the principal component's analysis (PCA) yielded 14 main components responsible for 100% of the variation exhibited by the malocclusion with three highly significant PCA. The highest Mahalanobis distances were exhibited by the malocclusion class II and III population. The Procrustes ANOVA showed that the shape effect was highly significant ( <0.01). The discriminant function analysis showed the high percentage of 80% discriminate among the malocclusions after cross-validation. There are significant differences for ANB angle (A point-Nasion-B point) in all malocclusion groups. Class II has the widest ANB angle while class III has the most acute ANB angle. Skeletal shape was clearly associated with dental malocclusion and showed considerable variation. Geometric morphometrics is an alternative research tool and can be used for diagnosing individual classification of malocclusion.
机译:几何形态计量学是一种在咬合不正中诊断形状的新方法。侧位脑电图是用于诊断牙科环境中咬合不正的X射线照片。这项研究的目的是通过应用二维几何形态计量学来确定咬合不正中颅面形状的差异,并建立马来西亚成年人口的咬合不正的数据库。回顾性检索了381名马来西亚成年人(18-45岁)的侧位头颅X线照片,并根据其咬合情况分为三类:I级,II级和III级。几何形态计量学研究纳入了9个界标,并使用tpsUtil p软件进行了详细分析。使用MorphoJ软件进行了几何形态分析。主成分分析(PCA)的结果产生了14个主要成分,其中100%代表了错牙合畸形所表现出的变异,其中包含三个非常重要的PCA。错牙合II类和III类人群表现出最高的Mahalanobis距离。 Procrustes方差分析显示形状效果非常显着(<0.01)。判别函数分析显示,交叉验证后,在错牙合畸形中有80%的高判别率。在所有咬合不良组中,ANB角度(A点-Nasion-B点)存在显着差异。 II类具有最宽的ANB角,而III类具有最锐利的ANB角。骨骼形状明显与牙齿咬合不正相关,并且显示出相当大的变化。几何形态计量学是一种替代性研究工具,可用于诊断咬合不正的个体分类。

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