Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population
Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population
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DOI：
10.5115/acb.19.118
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发表时间：
2019-12-01
影响因子：
1.1
通讯作者：
Alias, Aspalilah
中科院分区：
文献类型：
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作者：
Woon, Choy Ker;Abu Jamal, Nurul Aiman;Alias, Aspalilah
几何形态测量学是一种新的错畸形诊断的形态识别方法。头颅侧位片是在牙科环境中用于诊断错牙合畸形的X线检查。本研究的目的是通过应用二维几何形态测量学来确定错牙合畸形的颅面形态差异，并编制马来西亚成年人群错牙合畸形的数据库。回顾性检索了381名马来西亚成年人（年龄18-45岁）的头颅侧位X线片，并根据其咬合分为三组：I类、II类和III类。几何形态学形状研究纳入了9个标志，并使用tpsUtil p软件进行了详细分析。使用MorphoJ软件进行几何形态测定分析。主成分分析（PCA）的结果产生了14个主要成分负责100%的变化所表现出的错与三个高度显着的PCA。最高的Mahalanobis距离表现为错牙合II类和III类人群。单因素方差分析结果表明，形状效应极显著（P
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 (P