Sex Estimation From Sternal Measurements Using Multidetector Computed Tomography

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dc.authorid0000-0002-0194-595X
dc.authorid0000-0002-5301-6407
dc.authorid0000-0002-2506-4794
dc.authorid0000-0002-3791-2471
dc.authorscopusid57219513887
dc.authorscopusid35148019300
dc.authorscopusid26431438600
dc.authorscopusid23092707400
dc.authorscopusid24345297000
dc.authorscopusid36489530400
dc.authorscopusid8549233000
dc.authorwosidEkizoglu, Oguzhan/O-9157-2019
dc.authorwosidEkizoglu, Oguzhan/AAO-2704-2020
dc.authorwosidbilgili, mustafa g/M-2923-2014
dc.contributor.authorEkizoğlu, Oğuzhan
dc.contributor.authorHocaoglu, Elif
dc.contributor.authorİnci, Ercan
dc.contributor.authorBilgili, Mustafa Gökhan
dc.contributor.authorSolmaz, Dilek
dc.contributor.authorErdil, Irem
dc.contributor.authorCan, İsmail Özgür
dc.date.accessioned2022-05-11T14:39:52Z
dc.date.available2022-05-11T14:39:52Z
dc.date.issued2014
dc.departmentFakülteler, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, İç Hastalıkları Ana Bilim Dalı
dc.description.abstractWe aimed to show the utility and reliability of sternal morphometric analysis for sex estimation. Sex estimation is a very important step in forensic identification. Skeletal surveys are main methods for sex estimation studies. Morphometric analysis of sternum may provide high accuracy rated data in sex discrimination. In this study, morphometric analysis of sternum was evaluated in 1mm chest computed tomography scans for sex estimation. Four hundred forty 3 subjects (202 female, 241 male, mean age: 44 +/- 8.1 [ distribution: 30-60 year old]) were included the study. Manubrium length (ML), mesosternum length (2L), Sternebra 1 (S1W), and Sternebra 3 (S3W) width were measured and also sternal index (SI) was calculated. Differences between genders were evaluated by student t-test. Predictive factors of sex were determined by discrimination analysis and receiver operating characteristic (ROC) analysis. Male sternalmeasurement values are significantly higher than females (P< 0.001) while SI is significantly low in males (P< 0.001). In discrimination analysis, MSL has high accuracy rate with 80.2% in females and 80.9% in males. MSL also has the best sensitivity (75.9%) and specificity (87.6%) values. Accuracy rates were above 80% in 3 stepwise discrimination analysis for both sexes. Stepwise 1(ML, MSL, S1W, S3W) has the highest accuracy rate in stepwise discrimination analysis with 86.1% in females and 83.8% in males. Our study showed that morphometric computed tomography analysis of sternum might provide important information for sex estimation.
dc.identifier.doi10.1097/MD.0000000000000240
dc.identifier.issn0025-7974
dc.identifier.issn1536-5964
dc.identifier.issue27en_US
dc.identifier.pmid25501090
dc.identifier.scopus2-s2.0-84919342698
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1097/MD.0000000000000240
dc.identifier.urihttps://hdl.handle.net/20.500.11776/8771
dc.identifier.volume93
dc.identifier.wosWOS:000346406500044
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorSolmaz, Dilek
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofMedicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectIdentification
dc.subjectSinus
dc.titleSex Estimation From Sternal Measurements Using Multidetector Computed Tomography
dc.typeArticle

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