Sex Estimation From Measurements of the Mastoid Triangle and Volume of the Mastoid Air Cell System Using Classical and Machine Learning Methods

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dc.authoridEtli, Yasin/0000-0002-7369-6083
dc.authoridTASTEKIN, Burak/0000-0002-8617-1059
dc.authoridAsirdizer, Mahmut/0000-0001-7596-5892
dc.contributor.authorSasani, Hadi
dc.contributor.authorEtli, Yasin
dc.contributor.authorTastekin, Burak
dc.contributor.authorHekimoglu, Yavuz
dc.contributor.authorKeskin, Siddik
dc.contributor.authorAsirdizer, Mahmut
dc.date.accessioned2024-10-29T17:58:41Z
dc.date.available2024-10-29T17:58:41Z
dc.date.issued2024
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractPrevious studies on the sexual dimorphism of the mastoid triangle have typically focused on linear and area measurements. No studies in the literature have used mastoid air cell system volume measurements for direct anthropological or forensic sex determination. The aims of this study were to investigate the applicability of mastoid air cell system volume measurements and mastoid triangle measurements separately and combined for sex estimation, and to determine the accuracy of sex estimation rates using machine learning algorithms and discriminant function analysis of these data. On 200 computed tomography images, the distances constituting the edges of the mastoid triangle were measured, and the area was calculated using these measurements. A region-growing algorithm was used to determine the volume of the mastoid air cell system. The univariate sex determination accuracy was calculated for all parameters. Stepwise discriminant function analysis was performed for sex estimation. Multiple machine learning methods have also been used. All measurements of the mastoid triangle and volumes of the mastoid air cell system were higher in males than in females. The accurate sex estimation rate was determined to be 79.5% using stepwise discriminant function analysis and 88.5% using machine learning methods.
dc.identifier.doi10.1097/PAF.0000000000000890
dc.identifier.endpage62
dc.identifier.issn0195-7910
dc.identifier.issn1533-404X
dc.identifier.issue1en_US
dc.identifier.pmid38039501
dc.identifier.scopus2-s2.0-85182701842
dc.identifier.scopusqualityQ3
dc.identifier.startpage51
dc.identifier.urihttps://doi.org/10.1097/PAF.0000000000000890
dc.identifier.urihttps://hdl.handle.net/20.500.11776/14450
dc.identifier.volume45
dc.identifier.wosWOS:001156340400003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofAmerican Journal of Forensic Medicine and Pathology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectmastoid air cell system
dc.subjectvolume
dc.subjectmastoid triangle
dc.subjectforensic anthropology
dc.subjectCT
dc.titleSex Estimation From Measurements of the Mastoid Triangle and Volume of the Mastoid Air Cell System Using Classical and Machine Learning Methods
dc.typeArticle

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