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Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population
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 tw...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Association of Anatomists
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952698/ https://www.ncbi.nlm.nih.gov/pubmed/31949978 http://dx.doi.org/10.5115/acb.19.118 |
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author | Woon, Choy Ker Jamal, Nurul Aiman Abu Noor, Muhamad Nasim Ilmi Mohd Abdullah, Syiral Mastura Mohamed Ibrahim, Nurjehan Norman, Noraina Hafizan Alias, Aspalilah |
author_facet | Woon, Choy Ker Jamal, Nurul Aiman Abu Noor, Muhamad Nasim Ilmi Mohd Abdullah, Syiral Mastura Mohamed Ibrahim, Nurjehan Norman, Noraina Hafizan Alias, Aspalilah |
author_sort | Woon, Choy Ker |
collection | PubMed |
description | 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<0.01). The discriminant function analysis showed the high percentage of 80% discriminate among the malocclusions after cross-validation. There are significant differences for ANB angle (A point-Nasion-B point) in all malocclusion groups. Class II has the widest ANB angle while class III has the most acute ANB angle. Skeletal shape was clearly associated with dental malocclusion and showed considerable variation. Geometric morphometrics is an alternative research tool and can be used for diagnosing individual classification of malocclusion. |
format | Online Article Text |
id | pubmed-6952698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Korean Association of Anatomists |
record_format | MEDLINE/PubMed |
spelling | pubmed-69526982020-01-16 Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population Woon, Choy Ker Jamal, Nurul Aiman Abu Noor, Muhamad Nasim Ilmi Mohd Abdullah, Syiral Mastura Mohamed Ibrahim, Nurjehan Norman, Noraina Hafizan Alias, Aspalilah Anat Cell Biol Original Article 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<0.01). The discriminant function analysis showed the high percentage of 80% discriminate among the malocclusions after cross-validation. There are significant differences for ANB angle (A point-Nasion-B point) in all malocclusion groups. Class II has the widest ANB angle while class III has the most acute ANB angle. Skeletal shape was clearly associated with dental malocclusion and showed considerable variation. Geometric morphometrics is an alternative research tool and can be used for diagnosing individual classification of malocclusion. Korean Association of Anatomists 2019-12 2019-12-31 /pmc/articles/PMC6952698/ /pubmed/31949978 http://dx.doi.org/10.5115/acb.19.118 Text en Copyright © 2019. Anatomy & Cell Biology 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 Woon, Choy Ker Jamal, Nurul Aiman Abu Noor, Muhamad Nasim Ilmi Mohd Abdullah, Syiral Mastura Mohamed Ibrahim, Nurjehan Norman, Noraina Hafizan Alias, Aspalilah Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title | Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title_full | Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title_fullStr | Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title_full_unstemmed | Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title_short | Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population |
title_sort | geometric morphometric analysis of malocclusion on lateral cephalograms in malaysian population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952698/ https://www.ncbi.nlm.nih.gov/pubmed/31949978 http://dx.doi.org/10.5115/acb.19.118 |
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