Publication:
Soft-tissue Analysis Of Different Sagittal Skeletal Patterns Using The Geometric Morphometric Method

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dc.contributor.authorTamana Sazgaren_US
dc.contributor.authorNagham M. Al-Jafen_US
dc.contributor.authorNoraina Hafizan Normanen_US
dc.contributor.authorAspalilah Aliasen_US
dc.date.accessioned2024-05-28T05:55:47Z
dc.date.available2024-05-28T05:55:47Z
dc.date.issued2022
dc.date.submitted2022-5-17
dc.description.abstractObjectives 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.en_US
dc.identifier.doi10.1055/s-0042-1743149
dc.identifier.epage10
dc.identifier.issn1305-7456
dc.identifier.issue1
dc.identifier.spage1
dc.identifier.urihttps://www.thieme-connect.com/products/ejournals/html/10.1055/s-0042-1743149
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/6819
dc.identifier.volume1
dc.language.isoen_USen_US
dc.publisherThieme Medical and Scientific Publishersen_US
dc.relation.ispartofEuropean Journal of Dentistryen_US
dc.subjectGeometric morphometrics method , Soft-tissue analysis, Sagittal skeletal patterns , Shape variationsen_US
dc.titleSoft-tissue Analysis Of Different Sagittal Skeletal Patterns Using The Geometric Morphometric Methoden_US
dc.typeArticleen_US
dspace.entity.typePublication

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