. 2025; 30(3): 367-381 | DOI: 10.5505/ejm.2025.71780  

Sex Estimation from Mandible by CT Images and Discriminant Function Analysis in an Eastern Turkish Population

İsmail Mutlu1, Mahmut Asirdizer2, Erhan Kartal3, Yasin Etli3, Sıddık Keskin4, Demet Sever1, Cemil Göya5
1Council of Forensic Medicine, Istanbul/Türkiye.
2Department of Forensic Medicine, Medical Faculty of Bahçeşehir University, Istanbul-Türkiye.
3Department of Forensic Medicine, Medical Faculty of Van Yuzuncu Yil University
4Department of Anatomy, Medical Faculty of Van Yuzuncu Yil University
5Department of Radiodiagnostics, Medical Faculty of Van Yuzuncu Yil University

INTRODUCTION: The mandible is one of the best alternatives for sex estimation owing to its significant sexual dimorphism. The current study, which included a large case series and was conducted in an Eastern Turkish adult population, sought to assess the ability of mandibular measurements to estimate sexual dimorphism and investigate correlations between mandibular measurements and age and sides.
METHODS: On mandibular CT scans, 24 parameters for 240 cases were measured twice by two researchers. The mean values were compared based on sex, mandibular side, and age. Sex estimation rates were determined using univariate, linear, and stepwise discriminant analysis.
RESULTS: Male mandibles had higher linear measures. The maximum accurate sex estimation rate from the mandible was obtained in the multivariate DFA at 97.5% in males and 96.7% in females. Males and females had higher rates on the left and right sides, respectively.
DISCUSSION AND CONCLUSION: The data obtained with this study on this Eastern Turkish population, which both confirms previous research and suggests new ideas, and the high sex estimation rates obtained from these data, are thought to be an extremely useful database for future studies in the fields of forensic anthropology and archaeology for sex estimation.

Keywords: sex estimation, accuracy rate, mandible, CT scans, discriminant function analysis, forensic medicine.


İsmail Mutlu, Mahmut Asirdizer, Erhan Kartal, Yasin Etli, Sıddık Keskin, Demet Sever, Cemil Göya. Sex Estimation from Mandible by CT Images and Discriminant Function Analysis in an Eastern Turkish Population. . 2025; 30(3): 367-381

Sorumlu Yazar: Mahmut Asirdizer, Türkiye


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