ArticleDento maxillo facial radiology2018
Evaluation of natural mandibular shape asymmetry: an approach by using elliptical Fourier analysis.
Article in Dento maxillo facial radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mandibular shape prediction model using machine learning techniques.Clinical oral investigations · 2022Article
- Differences in skeletal growth patterns: an exploratory approach using elliptic Fourier analysis.Clinical oral investigations · 2021Article
- Mandibular shape prediction using cephalometric analysis: applications in craniofacial analysis, forensic anthropology and archaeological reconstruction.Maxillofacial plastic and reconstructive surgery · 2020Article
- Correlations Between Mandibular Asymmetries and Temporomandibular Disorders: A Systematic Review.Journal of International Society of Preventive & Community DentistryReview
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Authors and funding
4 authors.
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Abstract
objectivesThe purpose of this study was to demonstrate that asymmetry is a natural occurring phenomenon in the mandibular shape by using elliptical Fourier analysis.
methods164 digital orthopantomographs from Colombian patients of both sexes aged 18 to 25 years were collected. Curves from left and right hemimandible were digitized. An elliptical Fourier analysis was performed with 20 harmonics. In the general sexual dimorphism a principal component analysis (PCA) and a hotelling T
resultsSignificant values were found in general asymmetry, general sexual dimorphism, in dimorphism by side (p < 0.0001), asymmetry by sex, and differences between Class I, II, and III (p < 0.005). However, a relation of skeletal classes and side was not found.
conclusionsThe mandibular asymmetry by shape is present in all patients and should not be articulated exclusively to pathological processes, therefore, along with sexual dimorphism and differences between skeletal classes must be taken into account for improving mandibular prediction systems.
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