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Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis

OBJECTIVE: To classify facial asymmetry (FA) phenotypes in adult patients with skeletal Class III (C-III) malocclusion. METHODS: A total of 120 C-III patients who underwent orthognathic surgery (OGS) and whose three-dimensional computed tomography images were taken one month prior to OGS were evalua...

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Autores principales: Ha, Sang-Woon, Kim, Su-Jung, Choi, Jin-Young, Baek, Seung-Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association of Orthodontists 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964472/
https://www.ncbi.nlm.nih.gov/pubmed/35321948
http://dx.doi.org/10.4041/kjod.2022.52.2.85
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author Ha, Sang-Woon
Kim, Su-Jung
Choi, Jin-Young
Baek, Seung-Hak
author_facet Ha, Sang-Woon
Kim, Su-Jung
Choi, Jin-Young
Baek, Seung-Hak
author_sort Ha, Sang-Woon
collection PubMed
description OBJECTIVE: To classify facial asymmetry (FA) phenotypes in adult patients with skeletal Class III (C-III) malocclusion. METHODS: A total of 120 C-III patients who underwent orthognathic surgery (OGS) and whose three-dimensional computed tomography images were taken one month prior to OGS were evaluated. Thirty hard tissue landmarks were identified. After measurement of 22 variables, including cant (°, mm), shift (mm), and yaw (°) of the maxilla, maxillary dentition (Max-dent), mandibular dentition, mandible, and mandibular border (Man-border) and differences in the frontal ramus angle (FRA, °) and ramus height (RH, mm), K-means cluster analysis was conducted using three variables (cant in the Max-dent [mm] and shift [mm] and yaw [°] in the Man-border). Statistical analyses were conducted to characterize the differences in the FA variables among the clusters. RESULTS: The FA phenotypes were classified into five types 1) non-asymmetry type (35.8%); 2) maxillary-cant type (14.2%; severe cant of the Max-dent, mild shift of the Man-border); 3) mandibular-shift and yaw type (16.7%; moderate shift and yaw of the Man-border, mild RH-difference); 4) complex type (9.2%; severe cant of the Max-dent, moderate cant, severe shift, and severe yaw of the Man-border, moderate differences in FRA and RH); and 5) maxillary reverse-cant type (24.2%; reverse-cant of the Max-dent). Strategic decompensation by pre-surgical orthodontic treatment and considerations for OGS planning were proposed according to the FA phenotypes. CONCLUSIONS: This FA phenotype classification may be an effective tool for differential diagnosis and surgical planning for Class III patients with FA.
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spelling pubmed-89644722022-04-05 Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis Ha, Sang-Woon Kim, Su-Jung Choi, Jin-Young Baek, Seung-Hak Korean J Orthod Original Article OBJECTIVE: To classify facial asymmetry (FA) phenotypes in adult patients with skeletal Class III (C-III) malocclusion. METHODS: A total of 120 C-III patients who underwent orthognathic surgery (OGS) and whose three-dimensional computed tomography images were taken one month prior to OGS were evaluated. Thirty hard tissue landmarks were identified. After measurement of 22 variables, including cant (°, mm), shift (mm), and yaw (°) of the maxilla, maxillary dentition (Max-dent), mandibular dentition, mandible, and mandibular border (Man-border) and differences in the frontal ramus angle (FRA, °) and ramus height (RH, mm), K-means cluster analysis was conducted using three variables (cant in the Max-dent [mm] and shift [mm] and yaw [°] in the Man-border). Statistical analyses were conducted to characterize the differences in the FA variables among the clusters. RESULTS: The FA phenotypes were classified into five types 1) non-asymmetry type (35.8%); 2) maxillary-cant type (14.2%; severe cant of the Max-dent, mild shift of the Man-border); 3) mandibular-shift and yaw type (16.7%; moderate shift and yaw of the Man-border, mild RH-difference); 4) complex type (9.2%; severe cant of the Max-dent, moderate cant, severe shift, and severe yaw of the Man-border, moderate differences in FRA and RH); and 5) maxillary reverse-cant type (24.2%; reverse-cant of the Max-dent). Strategic decompensation by pre-surgical orthodontic treatment and considerations for OGS planning were proposed according to the FA phenotypes. CONCLUSIONS: This FA phenotype classification may be an effective tool for differential diagnosis and surgical planning for Class III patients with FA. Korean Association of Orthodontists 2022-03-25 2022-03-25 /pmc/articles/PMC8964472/ /pubmed/35321948 http://dx.doi.org/10.4041/kjod.2022.52.2.85 Text en © 2022 The Korean Association of Orthodontists. https://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 (https://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
Ha, Sang-Woon
Kim, Su-Jung
Choi, Jin-Young
Baek, Seung-Hak
Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title_full Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title_fullStr Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title_full_unstemmed Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title_short Characterization of facial asymmetry phenotypes in adult patients with skeletal Class III malocclusion using three-dimensional computed tomography and cluster analysis
title_sort characterization of facial asymmetry phenotypes in adult patients with skeletal class iii malocclusion using three-dimensional computed tomography and cluster analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964472/
https://www.ncbi.nlm.nih.gov/pubmed/35321948
http://dx.doi.org/10.4041/kjod.2022.52.2.85
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