Mi So Ahn1, Sang Min Shin2, Yong-Seok Choi3, Te-Ju Wu4, Ching-Chang Ko5, Tetsutaro Yamaguchi6, Koutaro Maki6, Yong-Il Kim1,7. 1. Department of Orthodontics, Dental research institute, Pusan National University Dental Hospital, Yangsan, Korea. 2. Department of Management Information Systems, College of Business, Dong-A University, Busan, Korea. 3. Department of Statistics, College of Natural Sciences, Pusan National University, Busan, Korea. 4. Department of Orthodontics, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. 5. Department of Orthodontics, School of Dentistry, University of North Carolina at Chapel Hill, North Carolina. 6. Department of Orthodontics, School of Dentistry, Showa University, Tokyo, Japan. 7. Institute of Translational dental science, School of Dentistry, Pusan National University, Busan, Korea.
Abstract
INTRODUCTION: The present study investigated the relationship between facial skeletal patterns and morphology of the palate in adult patients with Class III malocclusion using structural equation modelling (SEM). SETTING AND SAMPLE POPULATION: One hundred cone beam computed tomography images of Class III adults were evaluated for skeletal measurements. MATERIALS AND METHODS: The skeletal measurements were classified into the vertical, anteroposterior and transverse group based on factor analysis. 3D scanning model of the maxilla was analysed by Generalized procrustes analysis (GPA) and principal component analysis (PCA). Structural equation modelling was used to analyse relationship among the skeletal and morphometric factors. RESULTS: According to the factor analysis, latent variables were extracted by each skeletal variable. First principal component (PC1) and PC2 of palatal morphology were used to analyse relationship with skeletal variables. As results of the structural equation model, the transverse latent variable had the most influence on PC1, followed by vertical and anteroposterior variables. This result means that as the facial width increases, the palate becomes narrower, deeper and longer. CONCLUSIONS: The relationship between the skeletal pattern with Class III malocclusion and palatal morphology was analysed through SEM. The transverse facial skeletal pattern showed the highest correlation with PC1 of palatal morphology.
INTRODUCTION: The present study investigated the relationship between facial skeletal patterns and morphology of the palate in adult patients with Class III malocclusion using structural equation modelling (SEM). SETTING AND SAMPLE POPULATION: One hundred cone beam computed tomography images of Class III adults were evaluated for skeletal measurements. MATERIALS AND METHODS: The skeletal measurements were classified into the vertical, anteroposterior and transverse group based on factor analysis. 3D scanning model of the maxilla was analysed by Generalized procrustes analysis (GPA) and principal component analysis (PCA). Structural equation modelling was used to analyse relationship among the skeletal and morphometric factors. RESULTS: According to the factor analysis, latent variables were extracted by each skeletal variable. First principal component (PC1) and PC2 of palatal morphology were used to analyse relationship with skeletal variables. As results of the structural equation model, the transverse latent variable had the most influence on PC1, followed by vertical and anteroposterior variables. This result means that as the facial width increases, the palate becomes narrower, deeper and longer. CONCLUSIONS: The relationship between the skeletal pattern with Class III malocclusion and palatal morphology was analysed through SEM. The transverse facial skeletal pattern showed the highest correlation with PC1 of palatal morphology.