Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/7740
Title: Age estimation from mandibles in Malay: A 2D geometric morphometric analysis
Authors: Zulkifli, Nur Ariessa Farhana
Saaid, Nur Aliya Syuhada Mohd
Alias, Aspalilah
dkk.
Keywords: Age estimation
Dental panoramic tomography
Geometric morphometric
Identification
Mandible
Issue Date: 2023
Publisher: Journal of Taibah University Medical Sciences
Series/Report no.: Original Article;1435-1445
Abstract: Objectives: In this study, the sizes and forms of mandibles in various age groups of the Malay population were measured and compared. Methods: Geometric morphometric (GM) analysis of mandibles from 400 dental panoramic tomography (DPT) specimens was conducted. The MorphoJ program was used to perform generalized Procrustes analysis (GPA), Procrustes ANOVA, principal component analysis (PCA), discriminant function analysis (DFA), and canonical variate analysis (CVA). In the tpsDig2 program, the 27 landmarks were applied to the DPT radiographs. Variations in mandibular size and form were categorized into four age groups: group 1 (15-24 years), group 2 (25-34 years), group 3 (35-44 years), and group 4 (45-54 years). Results: The diversity in mandibular shape among the first eight principal components was 81%. Procrustes ANOVA revealed significant shape differences (P < 0.001) among age groups. Mahalanobis distances indicated substantial differences among all age groups; group 1 and group 4 scored highest, at 2.114. The ranges for the cross-validation and discriminant function tests were 90-72% and 81-49%, respectively. Conclusion: GM analysis through radiography is a simple, non-invasive, and non-destructive method of estimating age by using the mandible. GM analysis is unique because it can visualize the changes in mandible shape among age groups. This method should aid in age identification in forensic odontology investigations.
URI: http://localhost:8080/xmlui/handle/123456789/7740
ISSN: 1658-3612
Appears in Collections:Vol 18 No 6 (2023)

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