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Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling
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 skelet...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Association of Orthodontists
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533179/ https://www.ncbi.nlm.nih.gov/pubmed/31149607 http://dx.doi.org/10.4041/kjod.2019.49.3.170 |
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author | Ahn, Mi So Shin, Sang Min Yamaguchi, Tetsutaro Maki, Koutaro Wu, Te-Ju Ko, Ching-Chang Kim, Yong-Il |
author_facet | Ahn, Mi So Shin, Sang Min Yamaguchi, Tetsutaro Maki, Koutaro Wu, Te-Ju Ko, Ching-Chang Kim, Yong-Il |
author_sort | Ahn, Mi So |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6533179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Association of Orthodontists |
record_format | MEDLINE/PubMed |
spelling | pubmed-65331792019-05-30 Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling Ahn, Mi So Shin, Sang Min Yamaguchi, Tetsutaro Maki, Koutaro Wu, Te-Ju Ko, Ching-Chang Kim, Yong-Il Korean J Orthod Original Article 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. Korean Association of Orthodontists 2019-05 2019-05-21 /pmc/articles/PMC6533179/ /pubmed/31149607 http://dx.doi.org/10.4041/kjod.2019.49.3.170 Text en © 2019 The Korean Association of Orthodontists. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Ahn, Mi So Shin, Sang Min Yamaguchi, Tetsutaro Maki, Koutaro Wu, Te-Ju Ko, Ching-Chang Kim, Yong-Il Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title | Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title_full | Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title_fullStr | Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title_full_unstemmed | Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title_short | Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling |
title_sort | relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: structural equation modeling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533179/ https://www.ncbi.nlm.nih.gov/pubmed/31149607 http://dx.doi.org/10.4041/kjod.2019.49.3.170 |
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