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Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method
Objectives This study aimed to investigate the size and shape variations of soft-tissue patterns in different sagittal skeletal patterns using the geometric morphometrics method (GMM) obtained from lateral cephalograms. Materials and Methods This is a retrospective study, where the sample comprise...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949938/ https://www.ncbi.nlm.nih.gov/pubmed/35436793 http://dx.doi.org/10.1055/s-0042-1743149 |
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author | Sazgar, Tamana Al-Jaf, Nagham M. Norman, Noraina Hafizan Alias, Aspalilah |
author_facet | Sazgar, Tamana Al-Jaf, Nagham M. Norman, Noraina Hafizan Alias, Aspalilah |
author_sort | Sazgar, Tamana |
collection | PubMed |
description | Objectives This study aimed to investigate the size and shape variations of soft-tissue patterns in different sagittal skeletal patterns using the geometric morphometrics method (GMM) obtained from lateral cephalograms. Materials and Methods This is a retrospective study, where the sample comprised of 188 Malaysian Malay subjects aged between 18 and 40 years and with different sagittal skeletal patterns. Overall, 71 males and 117 females were gathered for all size and shape analyses. This study incorporated 11 soft-tissue landmarks, which underwent landmark application using tpsDig2 software version 2.31, while the shape analysis was done using MorphoJ software version 1.07a. Statistical Analysis Statistical analyses were performed using IBM SPSS Statistics 26. The result of the analysis of variance (ANOVA) test showed significant differences in some of the parameters between the landmarks. Length D, Length E, Length F, Length H, and Length I showed significant differences ( p < 0 .05), while other parameters showed no difference ( p > 0.05). Results The shape variation of soft-tissue landmarks in different skeletal patterns existed in 18 different dimensions which showed by 18 principal components (PCs). Procrustes ANOVA and canonical variate analysis showed the size and shape differences of soft-tissue patterns between Class II and III and gender groups ( p < 0.0001). In discriminant function analysis for Class II subjects, the classification accuracy was 98.4%, whereas subsequent to cross-validation, the classification accuracy was 90.6%. For Class III subjects, the classification accuracy was 96.6%, while after cross-validation, the classification accuracy was 90%. Conclusion Different sagittal skeletal patterns demonstrated different soft-tissue shape variations. Class III showed the most protrusive upper and lower lips, while Class II demonstrated the most retrusive lower lip. |
format | Online Article Text |
id | pubmed-9949938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Thieme Medical and Scientific Publishers Pvt. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99499382023-02-24 Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method Sazgar, Tamana Al-Jaf, Nagham M. Norman, Noraina Hafizan Alias, Aspalilah Eur J Dent Objectives This study aimed to investigate the size and shape variations of soft-tissue patterns in different sagittal skeletal patterns using the geometric morphometrics method (GMM) obtained from lateral cephalograms. Materials and Methods This is a retrospective study, where the sample comprised of 188 Malaysian Malay subjects aged between 18 and 40 years and with different sagittal skeletal patterns. Overall, 71 males and 117 females were gathered for all size and shape analyses. This study incorporated 11 soft-tissue landmarks, which underwent landmark application using tpsDig2 software version 2.31, while the shape analysis was done using MorphoJ software version 1.07a. Statistical Analysis Statistical analyses were performed using IBM SPSS Statistics 26. The result of the analysis of variance (ANOVA) test showed significant differences in some of the parameters between the landmarks. Length D, Length E, Length F, Length H, and Length I showed significant differences ( p < 0 .05), while other parameters showed no difference ( p > 0.05). Results The shape variation of soft-tissue landmarks in different skeletal patterns existed in 18 different dimensions which showed by 18 principal components (PCs). Procrustes ANOVA and canonical variate analysis showed the size and shape differences of soft-tissue patterns between Class II and III and gender groups ( p < 0.0001). In discriminant function analysis for Class II subjects, the classification accuracy was 98.4%, whereas subsequent to cross-validation, the classification accuracy was 90.6%. For Class III subjects, the classification accuracy was 96.6%, while after cross-validation, the classification accuracy was 90%. Conclusion Different sagittal skeletal patterns demonstrated different soft-tissue shape variations. Class III showed the most protrusive upper and lower lips, while Class II demonstrated the most retrusive lower lip. Thieme Medical and Scientific Publishers Pvt. Ltd. 2022-04-18 /pmc/articles/PMC9949938/ /pubmed/35436793 http://dx.doi.org/10.1055/s-0042-1743149 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Sazgar, Tamana Al-Jaf, Nagham M. Norman, Noraina Hafizan Alias, Aspalilah Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title | Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title_full | Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title_fullStr | Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title_full_unstemmed | Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title_short | Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method |
title_sort | soft-tissue analysis of different sagittal skeletal patterns using the geometric morphometric method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949938/ https://www.ncbi.nlm.nih.gov/pubmed/35436793 http://dx.doi.org/10.1055/s-0042-1743149 |
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