ArticleJournal of oral and maxillofacial pathology : JOMFP
Geometric morphometric analysis for sex determination using lateral cephalograms in Indian population: A preliminary study.
Article in Journal of oral and maxillofacial pathology : JOMFP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Artificial intelligence in age and sex determination using maxillofacial radiographs: A systematic review.The Journal of forensic odonto-stomatology · 2024Pooled it
- 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
- Cranial and Odontological Methods for Sex Estimation-A Scoping Review.Medicina (Kaunas, Lithuania) · 2022Article
- Geometric morphometric analysis of mandibular morphology for age classification in Indonesian adolescents and adults.Journal of oral biology and craniofacial researchArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOrthodontic science centers primarily on the growth, development and advancement of the craniofacial structures. Geometric morphometrics (GMM) is a new approach for shape identification in forensic sciences. PURPOSE: The aim of this study was to examine the shape variation in the Indian sample in order to assess sexual dimorphism by application of two-dimensional GMM. MATERIALS AND
methodsThe sample comprised a total of 105 lateral cephalograms (54 males-51 females) of Angle's Class I malocclusion patients that were later subjected to principal component (PC) analysis and discriminant analysis.
resultsThe PC analysis showed over 96% of shape variation. The initial three PCs were statistically significant that depicted as 58.37% of total shape variability, with PC1 represent for the most significant variance 28.48%, PC2 described 18.83% and PC3 11.06%.
conclusionSex of an individual was clearly associated with occlusion of teeth and showed considerable variation. GMM is an alternative research tool and can be utilized for diagnosing individual characterization and classification of malocclusion.
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Registered trials
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