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Sex estimation from reconstructed scapula models using discriminant function analysis in the Malaysian population

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dc.contributor.affiliationsFaculty of Medicine and Health Sciences
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia Medical Centre
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorOmar N.en_US
dc.contributor.authorMohd Ali S.H.en_US
dc.contributor.authorShafie M.S.en_US
dc.contributor.authorNik Ismail N.A.en_US
dc.contributor.authorHadi H.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorMohd Nor F.en_US
dc.date.accessioned2024-05-29T01:55:37Z
dc.date.available2024-05-29T01:55:37Z
dc.date.issued2019
dc.description.abstractScapulae have been widely studied for its potential in differentiating sex in skeletal remains, especially when traditionally used sexually dimorphic bones were not available. The present work aimed to investigate sexual dimorphism of scapulae, and to develop and validate the population-specific metric standards of the Malaysian population using three-dimensional (3D) computed tomographic (CT) scapula models. Each scapula was measured for five variables with a digital caliper and analysed for independent T-test and discriminant analysis, where a leave-one-out cross-validation was applied. Moreover, a set of different samples (hold-out sample) was used to validate the established discriminant functions (DF). Consequently, all measurements showed significant differences between males and females (p < 0.001) and morphological breadth was discovered as the most sexually dimorphic scapulae measurements. Six DFs with classification accuracy ranging from 84.4% to 93.1% were generated. From the functions, stepwise DF predicted the highest classification accuracy. Additionally, the stepwise DF exhibited 95% classification accuracy when tested on the hold-out sample compared to univariate DFs which showed 82.5�92.5% accuracy. In conclusion, the virtual 3D scapulae models were sexually dimorphic, and the discriminant functions were significant in identifying skeletonized remains using scapulae bone in the Malaysian population. � 2019, � 2019 Australian Academy of Forensic Sciences.
dc.description.natureArticle in Pressen_US
dc.identifier.CODENAJFSB
dc.identifier.doi10.1080/00450618.2019.1661516
dc.identifier.issn450618
dc.identifier.scopus2-s2.0-85071969096
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071969096&doi=10.1080%2f00450618.2019.1661516&partnerID=40&md5=5224c7168880059958655e474ab29815
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9727
dc.languageEnglish
dc.language.isoen_US
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofAustralian Journal of Forensic Sciences
dc.sourceScopus
dc.subjectdiscriminant function analysisen_US
dc.subjectforensic anthropologyen_US
dc.subjectscapulaeen_US
dc.subjectSexual dimorphismen_US
dc.titleSex estimation from reconstructed scapula models using discriminant function analysis in the Malaysian population
dc.typeArticleen_US
dspace.entity.typePublication

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