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Age Estimation from Mandibles in Malay: A 2d Geometric Morphometric Analysis

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dc.contributor.authorNur Ariessa Farhana Zulkiflien_US
dc.contributor.authorNur Aliya Syuhada Mohd Saaiden_US
dc.contributor.authorAspalilah Aliasen_US
dc.contributor.authorNurjehan Mohamed Ibrahimen_US
dc.contributor.authorChoy Ker Woonen_US
dc.contributor.authorArofi Kurniawanen_US
dc.contributor.authorBeshlina Fitri Widayanti Roosyanto Prakoeswaen_US
dc.date.accessioned2024-05-29T02:27:07Z
dc.date.available2024-05-29T02:27:07Z
dc.date.issued2023
dc.date.submitted2023-8-16
dc.descriptionVolume 18, Issue 6en_US
dc.description.abstractObjectives 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.en_US
dc.identifier.doi10.1016/j.jtumed.2023.05.020
dc.identifier.epage1445
dc.identifier.issn1658-3612
dc.identifier.issue6
dc.identifier.spage1435
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S165836122300094X?via%3Dihub
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85162854795&origin=resultslist&sort=plf-f&src=s&sid=82b4ab49df2132c49f5bccda5e1d96ea&sot=b&sdt=b&s=TITLE-ABS-KEY%28Age+estimation+from+mandibles+in+Malay%29&sl=53&sessionSearchId=82b4ab49df2132c49f5bccda5e1d96ea
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10665
dc.identifier.volume18
dc.language.isoen_USen_US
dc.publisherElsevier B.Ven_US
dc.relation.ispartofJournal of Taibah University Medical Sciencesen_US
dc.subjectAge estimation; Dental panoramic tomography; Geometric morphometric; Identification; Mandibleen_US
dc.titleAge Estimation from Mandibles in Malay: A 2d Geometric Morphometric Analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication

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