Publication:
Redesign of missing mandible by determining age group and gender from morphometric features of skull for facial reconstruction (approximation)

dc.contributor.authorBabacan, Serdar
dc.contributor.authorIşıklar, Sefa
dc.contributor.authorKafa, İlker Mustafa
dc.contributor.authorGökalp, Gökhan
dc.contributor.buuauthorGÖKALP, GÖKHAN
dc.contributor.buuauthorKAFA, İLKER MUSTAFA
dc.contributor.buuauthorIŞIKLAR, SEFA
dc.contributor.departmentSağlık Hizmetleri MYO
dc.contributor.orcid0000-0002-7410-7738
dc.contributor.orcid0000-0002-2070-5193
dc.contributor.orcid0000-0001-8309-0934
dc.contributor.researcheridAAK-3779-2021
dc.contributor.researcheridAAG-7125-2021
dc.contributor.researcheridGMO-0473-2022
dc.date.accessioned2024-05-30T12:21:49Z
dc.date.available2024-05-30T12:21:49Z
dc.date.issued2021-05-01
dc.description.abstractThe identification of an unknown person by facial reconstruction, gender, and age determination is one of the duties of the forensic sciences. In some cases, the skull and mandible cannot be obtained together. In this case, facial reconstruction of the skull without a mandible becomes a serious problem. The aim of our study was to design the mandible suitable for the anatomic structure of the skull by first determining the age group and gender of the skull for skulls without mandible. Our study was carried out on 3D-CT images provided in Bursa Uludag University Radiology Department. Individuals were divided into five age groups considering tooth and bone development. Our study was conducted on 282 3D-BT images. Twenty-three variables on the mandible and 54 variables on the skull were examined. SPSS 20.0 was performed for the developing the regression formulas, discriminant function analysis, and descriptive and comparative statistics. Comparative and descriptive statistical findings between sexes and age groups are presented in tables. Discriminant function analyzes were performed for age group and gender determination. Regression formulas were developed for the redesign of the missing mandible suitable for the skull anatomy. We believe that our thesis will be useful for forensic scientists and anthropologists with the regression formulas that will design the mandible suitable for the anatomy of the skulls without the mandible and age group determination by discriminant analysis method with morphometric data.
dc.identifier.doi10.1007/s12520-021-01315-2
dc.identifier.issn1866-9557
dc.identifier.issue5
dc.identifier.urihttps://doi.org/10.1007/s12520-021-01315-2
dc.identifier.urihttps://link.springer.com/article/10.1007/s12520-021-01315-2
dc.identifier.urihttps://hdl.handle.net/11452/41578
dc.identifier.volume13
dc.identifier.wos000637818200002
dc.indexed.wosWOS.SCI
dc.indexed.wosWOS.SSCI
dc.indexed.wosWOS.AHCI
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.journalArchaeological And Anthropological Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDiscriminant function-analysis
dc.subjectSex determination
dc.subjectPopulation
dc.subjectTraits
dc.subjectFacial reconstruction
dc.subjectFacial approximation
dc.subjectGender determination
dc.subjectAge determination
dc.subjectMissing mandible
dc.subjectSkull morphometry
dc.subjectScience & technology
dc.subjectSocial sciences
dc.subjectLife sciences & biomedicine
dc.subjectPhysical sciences
dc.subjectAnthropology
dc.subjectArchaeology
dc.subjectGeosciences, multidisciplinary
dc.subjectAnthropology
dc.subjectArchaeology
dc.subjectGeology
dc.titleRedesign of missing mandible by determining age group and gender from morphometric features of skull for facial reconstruction (approximation)
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi
local.contributor.departmentSağlık Hizmetleri MYO
relation.isAuthorOfPublication5202eef7-6338-46d2-a3aa-dfc334e8221d
relation.isAuthorOfPublication3dee58ba-2a0c-40a7-beb1-fcf4488084e2
relation.isAuthorOfPublication8183356b-fb17-47f9-86d8-9566fdeb85ab
relation.isAuthorOfPublication.latestForDiscovery5202eef7-6338-46d2-a3aa-dfc334e8221d

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