ArticleEuropean journal of dentistry2023
Soft-Tissue Analysis of Different Sagittal Skeletal Patterns Using the Geometric Morphometric Method.
Article in European journal of dentistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- A comparative analysis of artificial intelligence generated 3d facial models from 2D photos: A procrustes-based validation of landmark accuracy in Orthodontics.Seminars in orthodontics · 2026Article
- Morphological variations and differences of the mandible and midfacial skeleton across different sagittal skeletal patterns and sexes: a three-dimensional geometric morphometric analysis.Progress in orthodontics · 2026Article
- Effect of tooth agenesis on facial soft tissue profile.Scientific reports · 2026Article
- Geometric Morphometric Analysis of Hard and Soft Tissue in Class III Malocclusion Before and Near-End Orthodontic Treatment.Journal of clinical medicine · 2026Article
- Hard and soft tissue shape variation and changes in Class II division 1 malocclusion during orthodontic treatment: a geometric morphometric analysis.BMC oral health · 2023Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
objectivesThis 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
methodsThis 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 (
resultsThe 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 (
conclusionDifferent 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.
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Registered trials
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