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http://dx.doi.org/10.4041/kjod.2019.49.3.170

Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling  

Ahn, Mi So (Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital)
Shin, Sang Min (Department of Management Information Systems, College of Business, Dong-A University)
Yamaguchi, Tetsutaro (Department of Orthodontics, School of Dentistry, Showa University)
Maki, Koutaro (Department of Orthodontics, School of Dentistry, Showa University)
Wu, Te-Ju (Department of Orthodontics, Chang Gung Memorial Hospital)
Ko, Ching-Chang (Department of Orthodontics, School of Dentistry, University of North Carolina at Chapel Hill)
Kim, Yong-Il (Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital)
Publication Information
The korean journal of orthodontics / v.49, no.3, 2019 , pp. 170-180 More about this Journal
Abstract
Objective: The purpose of this study was to investigate the relationship between the facial skeletal patterns and the shape of the mandibular symphysis in adults with malocclusion by using a structural equation model (SEM). Methods: Ninety adults who had malocclusion and had records of facial skeletal measurements performed using cone-beam computed tomography were selected for this study. The skeletal measurements were classified into three groups (vertical, anteroposterior, and transverse). Cross-sectional images of the mandibular symphysis were analyzed using generalized Procrustes and principal component (PC) analyses. A SEM was constructed after the factors were extracted via factor analysis. Results: Two factors were extracted from the transverse, vertical, and anteroposterior skeletal measurements. Latent variables were extracted for each factor. PC1, PC2, and PC3 were selected to analyze the variations of the mandibular symphyseal shape. The SEM was constructed using the skeletal variables, PCs, and latent variables. The SEM showed that the vertical latent variable exerted the most influence on the mandibular symphyseal shape. Conclusions: The relationship between the skeletal pattern and the mandibular symphysis was analyzed using a SEM, which showed that the vertical facial skeletal pattern had the highest effect on the shape of the mandibular symphysis.
Keywords
Structural equation model; Morphology of mandibular symphysis; Facial skeletal pattern;
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