Evidence map›Paper›PMID 41017955›Full record

ArticleJournal of oral biology and craniofacial research

Geometric morphometric analysis of mandibular morphology for age classification in Indonesian adolescents and adults.

Lusia Dinda Puspa Larasati, Arofi Kurniawan, An'nisaa Chusida, Beta Novia Rizky, Maria Istiqomah Marini, Queen Oceannia Arisa Putri, Aspalilah Alias, Rabiah Al-Adawiyah Rahmat, Anand Marya

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Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Lusia Dinda Puspa LarasatiDepartment of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Arofi KurniawanDepartment of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
An'nisaa ChusidaDepartment of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Beta Novia RizkyDepartment of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Maria Istiqomah MariniDepartment of Forensic Odontology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Queen Oceannia Arisa PutriFaculty of Dental Medicine Universitas Airlangga, Surabaya, Indonesia.
Aspalilah AliasDepartment of Basic Sciences and Oral Biology, Faculty of Dentistry, Universiti Sains Islam Malaysia, Malaysia.
Rabiah Al-Adawiyah RahmatDepartment of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Malaysia.
Anand MaryaDepartment of Orthodontics, Faculty of Dentistry, University of Puthisastra, Phnom Penh, Cambodia.

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6 · The paper itself

Abstract

Introduction: Accurate age estimation plays a crucial role in medicolegal investigations, particularly in determining whether an individual has reached the age of majority for criminal responsibility, which is legally defined as 18 years in Indonesia. Geometric morphometric (GM) analysis of the mandible enables the evaluation of shape variability in two-dimensional (2D) data with potential applications in categorizing individual ages. Methods: 300 digital panoramic radiographs were obtained from Airlangga University Dental Hospital in Surabaya and divided into adolescent (15.0-17.9 years) and adult (18.0-21.0 years) age groups. Each sample was assigned 27 anatomical landmarks and analyzed using MorphoJ software with generalized Procrustes analysis (GPA) and principal component analysis (PCA), while statistical evaluation included Procrustes analysis of variance (ANOVA) and discriminant function analysis (DFA). Results: GM analysis revealed statistically significant differences in mandibular morphology between adolescents and adults. However, Procrustes ANOVA did not show significant differences in mandibular size between the age groups. Variable mandibular morphology patterns were identified at the incisor point, mental foramen, gonion, and mandibular notch. The geometric morphometric method successfully identified the mandibular morphologies specific to each group, achieving 67 % and 65 % accuracy for the adult and adolescent groups, respectively. Conclusion: These findings underscore the potential of GM analysis of mandibular morphology for classifying individuals as adolescents or adults.

Indexed as

Age classificationForensic dentistryGeometric morphometricHuman rightsLegal identityMandibular morphology

Identifiers

PMID41017955
PMCPMC12465032

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