Araştırma Makalesi
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Sex Determination Using Craniometric Parameters: A Computed Tomography- Based Assessment

Yıl 2025, Cilt: 39 Sayı: 2, 125 - 135, 25.08.2025
https://doi.org/10.61970/adlitip.1700509

Öz

Objective: This study aimed to evaluate the effectiveness of cranial measurements obtained from computed tomography (CT) scans in determining sex. Seven linear cranial parameters were assessed to investigate their individual and combined discriminative power in sex classification within an adult Turkish population.
Methods: Adult individuals of known sex were retrospectively selected from cranial CT scans archived at a tertiary care hospital. Seven craniometric parameters—including maximum cranial length, naso-occipital length, cranial base length, basion–bregma length, bizygomatic width, biorbital width, and interorbital width—were measured using multiplanar reconstructed CT images. Sex-based comparisons were performed, and a quadratic discriminant analysis (QDA) was conducted to assess classification accuracy.
Results: A total of 200 individuals (100 males and 100 females), aged between 20 and 75 years, were included in the study. All cranial measurements were significantly higher in males compared to females (p < 0.001 for all parameters except interorbital width, p = 0.047). The most prominent sex-based differences were observed in bizygomatic width (132.82 ± 5.00 mm in males vs. 124.06 ± 4.90 mm in females) and maximum cranial length (182.17 ± 7.42 mm vs. 171.51 ± 6.86 mm). The QDA model achieved an overall classification accuracy of 86%, with 83% accuracy in males and 89% in females. Interorbital width was the only parameter showing significant variation by age group (p = 0.002), while the remaining measurements were unaffected by age.
Conclusion: Cranial parameters obtained from CT imaging demonstrated a classification accuracy of 86% in sex estimation within our sample, supporting their utility in forensic anthropological assessments. These findings reinforce the value of CT-based linear craniometric analysis as a non-invasive and reproducible approach, particularly in settings where advanced 3D or AI-based methods may not be feasible. Additionally, this study provides reference data specific to an adult Turkish cohort, contributing to population-specific standards in the literature.

Etik Beyan

Ethical approval was obtained from the Clinical Research Ethics Committee of Gaziantep University Faculty of Medicine between 09/03/2022 and 04/01/2023 (Approval No: 2022/35).

Kaynakça

  • 1. Blau S, Graham J, Smythe L, Rowbotham S. Human identification: a review of methods employed within an Australian coronial death investigation system. Int J Legal Med. 2021;135:375-85. https://doi.org/10.1007/s00414- 020-02461-3.
  • 2. Blau S. How traumatic: a review of the role of the forensic anthropologist in the examination and interpretation of skeletal trauma. Australian Journal of Forensic Sciences. 2016;49:261-80. https://doi.org/10.1080/00450618.2016.1 153715.
  • 3. Beschiu LM, Ardelean LC, Tigmeanu CV, Rusu L-C. Cranial and Odontological Methods for Sex Estimation—A Scoping Review. Medicina. 2022;58:1273-80. https://doi. org/10.3390/medicina58091273.
  • 4. Mello-Gentil T, Souza-Mello V. Contributions of anatomy to forensic sex estimation: focus on head and neck bones. Forensic Sciences Research. 2021;7:11-23. https:// doi.org/10.1080/20961790.2021.1889136.
  • 5. Plotkin LI, Bruzzaniti A, Pianeta R. Sexual Dimorphism in the Musculoskeletal System: Sex Hormones and Beyond. Journal of the Endocrine Society. 2024;8:153-60. https:// doi.org/10.1210/jendso/bvae153.
  • 6. Geršak ŽM, Salapura V, Podovšovnik E, Zupanič- Pajnič I. Targeting Optimal Bone Regions: Correlations Between Bone Density and DNA Quality in Small Skeletal Elements. Genes. 2025;16:291-8. https://doi.org/10.3390/2024;10:33712-9. https://doi.org/10.1016/j.heliyon.2024. e33712.
  • 7. Toneva D, Nikolova S, Tasheva-Terzieva E, Zlatareva D, Lazarov N. A Geometric Morphometric Study on Sexual Dimorphism in Viscerocranium. Biology. 2022;11:1333-9. https://doi.org/10.3390/biology11091333.
  • 8. Crebert I, Seckiner D, Nickson R, Berezowski V, Mallett X. A Comparative Analysis of Computed Tomography, Photogrammetry, and Structured Light Scanning for Biological Sex Estimation in Forensic Anthropology – A Review. Science & Justice. 2025;65:101263-9. https://doi. org/10.1016/j.scijus.2025.101263.
  • 9. Meral O, Meydan R, Toklu BB, Kaya A, Karadayi B, Acar T. Estimation of sex from computed tomography images of skull measurements in an adult Turkish population. Acta Radiologica. 2021;63:1513-21. https:// doi.org/10.1177/02841851211044978.
  • 10. Shrestha R, Wang X, Liu G, Wu Q, Zheng Y, Song F, et al. Sex estimation techniques based on skulls in forensic anthropology: A scoping review. Plos One. 2024;19:0311762. https://doi.org/10.1371/journal. pone.0311762.
  • 11. da Silva JC, Strazzi-Sahyon HB, Nunes GP, Andreo JC, Spin MD, Shinohara AL. Cranial anatomical structures with high sexual dimorphism in metric and morphological evaluation: A systematic review. Journal of Forensic and Legal Medicine. 2023;99:102592-9. https://doi. org/10.1016/j.jflm.2023.102592.
  • 12. Beschiu LM, Ardelean LC, Tigmeanu CV, Rusu L-C. Cranial and Odontological Methods for Sex Estimation—A Scoping Review. Medicina. 2022;58. https://doi. org/10.3390/medicina58091273.
  • 13. Mussabekova SA, Stoyan AO, Mkhitaryan XE, Zhautikova SB. Forensic evaluation of craniometric characteristics of the Kazakhstan population. Journal of Oral Biology and Craniofacial Research. 2024;14:370-7. https://doi.org/10.1016/j.jobcr.2024.04.004.
  • 14. Swift L, Obertova Z, Franklin D. Demonstrating the empirical effect of population specificity of anthropological standards in a contemporary Australian population. International Journal of Legal Medicine. 2023;138:537-45. https://doi.org/10.1007/s00414-023-03031-z.
  • 15. Kranioti EF, García-Donas JG, Can IO, Ekizoglu O. Ancestry estimation of three Mediterranean populations based on cranial metrics. Forensic Science International. 2018;286:265-8. https://doi.org/10.1016/j. forsciint.2018.02.014.
  • 16. Boussaid M, Brahim O, Bouanen I, Kenani M, Limem H, Mahjoub Y, et al. Sex determination by Ct –scan analysis of the mastoid bone: A cross-sectional study. Heliyon.
  • 17. Kumar Battan S, Sharma M, Gakhar G, Garg M, Singh P, Jasuja OP. Cranio-facial bones evaluation based on clinical CT data for sex determination in Northwest Indian population. Legal Medicine. 2023;64:102292-9. https:// doi.org/10.1016/j.legalmed.2023.102292.
  • 18. Hosseini A, Soleimannejad M, Javadi A, Kazemifar A, Darabi S, Pourkeramat S. Sex and Age Determination by Measurement of Foramen Magnum Dimensions on Computer Tomography Scanning Study in the Iranian Population. Journal of Craniofacial Surgery. 2021;32:604- 7. https://doi.org/10.1097/scs.0000000000007580.
  • 19. Olusanya AA, Aladelusi TO, Adedokun B. Anthropometric Analysis of the Nigerian Face: Any Conformity to the Neoclassical Canons? Journal of Craniofacial Surgery. 2018;29:1978-82. https://doi. org/10.1097/scs.0000000000004831.
  • 20. Velemínská J, Fleischmannová N, Suchá B, Dupej J, Bejdová Š, Kotěrová A, et al. Age-related differences in cranial sexual dimorphism in contemporary Europe. International Journal of Legal Medicine. 2021;135:2033- 44. https://doi.org/10.1007/s00414-021-02547-6.
  • 21. Bonicelli A, Zioupos P, Arnold E, Rogers KD, Xhemali B, Kranioti EF. Age related changes of rib cortical bone matrix and the application to forensic age-at-death estimation. Scientific Reports. 2021;11:2086-95. https:// doi.org/10.1038/s41598-021-81342-0.
  • 22. Toy S, Secgin Y, Oner Z, Turan MK, Oner S, Senol D. A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium. Scientific Reports. 2022;12:4278-86. https://doi.org/10.1038/s41598-022- 07415-w.
  • 23. Choi S-J, Lee W-J, Youn KH, Lozanoff S, Lee UY, Kim Y-S. Morphometric analysis of the hard palate in sex estimation among koreans using three-dimensional computed tomography. Scientific Reports. 2024;14:1-12. https://doi.org/10.1038/s41598-024-76436-4.
  • 24. Cekdemir YE, Mutlu U, Karaman G, Balci A. Estimation of sex using morphometric measurements performed on cranial computerized tomography scans. La radiologia medica. 2020;126:306-15. https://doi.org/10.1007/s11547- 020-01233-8.
  • 25. Duquesnel Mana M, Adalian P, Lynnerup N. Lateral angle and cranial base sexual dimorphism: a morphometric evaluation using computerised tomography scans of a modern documented autopsy population from Denmark. Anthropologischer Anzeiger. 2016;73:89-98. https://doi.org/10.1127/anthranz/2016/0424.
  • 26. Chatthai N, Sangchay N, Piyaman P, Pattarapanitchai P, Chomean S, Kaset C. Sex determination from foramen magnum parameters in Thai cadaveric donor. Forensic Science International: Reports. 2024;9:1-9. https://doi. org/10.1016/j.fsir.2024.100371.
  • 27. Klales A. Current State of Sex Estimation in Forensic Anthropology. Forensic Anthropology. 2021;4:118-33. https://doi.org/10.5744/fa.2020.3033.

Kraniyometrik Parametrelerle Cinsiyet Tayini: Bilgisayarlı Tomografi Temelli Bir Değerlendirme

Yıl 2025, Cilt: 39 Sayı: 2, 125 - 135, 25.08.2025
https://doi.org/10.61970/adlitip.1700509

Öz

Amaç: Bu çalışma, bilgisayarlı tomografi (BT) görüntülerinden elde edilen kraniyal ölçümlerin cinsiyet belirlemedeki etkinliğini değerlendirmeyi amaçlamıştır. Yedi lineer kraniyal parametre, erişkin Türk popülasyonunda cinsiyet sınıflandırmasındaki bireysel ve kombine ayırt edici güçleri açısından incelenmiştir.
Yöntem: Cinsiyeti bilinen erişkin bireyler, üçüncü basamak bir hastanede arşivlenen kraniyal BT görüntülerinden retrospektif olarak seçildi. Maksimum kraniyal uzunluk, nazo-oksipital uzunluk, kraniyal taban uzunluğu, basion–bregma uzunluğu, bizigomatik genişlik, biorbital genişlik ve interorbital genişlik olmak üzere yedi kraniyometrik parametre, multiplanar rekonstrükte BT görüntüleri kullanılarak ölçüldü. Cinsiyete göre karşılaştırmalar yapıldı ve sınıflandırma doğruluğunu değerlendirmek için kuadratik diskriminant analiz (QDA) uygulandı.
Bulgular: Çalışmaya 20–75 yaş aralığında toplam 200 birey (100 erkek, 100 kadın) dahil edildi. Tüm kraniyal ölçümler, interorbital genişlik dışında (p = 0.047), erkeklerde kadınlara göre anlamlı derecede daha yüksek bulundu (tüm diğer parametreler için p < 0.001). Cinsiyetler arası en belirgin farklar, bizigomatik genişlik (erkeklerde 132.82 ± 5.00 mm, kadınlarda 124.06 ± 4.90 mm) ve maksimum kraniyal uzunluk (erkeklerde 182.17 ± 7.42 mm, kadınlarda 171.51 ± 6.86 mm) parametrelerinde gözlendi. QDA modeli, erkeklerde %83 ve kadınlarda %89 doğruluk ile toplamda %86 sınıflandırma doğruluğu sağladı. İnterorbital genişlik yaş gruplarına göre anlamlı farklılık gösteren tek parametreydi (p = 0.002), diğer ölçümler yaşa göre etkilenmedi.
Sonuç: BT görüntülemelerinden elde edilen kraniyal parametreler, örneklemimizde %86 doğrulukla biyolojik cinsiyet tahmini sağlamış ve adli antropolojik değerlendirmelerde kullanılabilirliğini ortaya koymuştur. Bu bulgular, BT tabanlı lineer kraniyometrik analizlerin, özellikle ileri düzey 3D veya yapay zekâ temelli yöntemlerin uygulanmasının mümkün olmadığı durumlarda, invaziv olmayan ve tekrarlanabilir bir yaklaşım olarak değerini pekiştirmektedir. Ayrıca, bu çalışma erişkin Türk popülasyonuna özgü referans veriler sunarak literatüre populasyon-spesifik standartlar açısından katkıda bulunmaktadır.

Kaynakça

  • 1. Blau S, Graham J, Smythe L, Rowbotham S. Human identification: a review of methods employed within an Australian coronial death investigation system. Int J Legal Med. 2021;135:375-85. https://doi.org/10.1007/s00414- 020-02461-3.
  • 2. Blau S. How traumatic: a review of the role of the forensic anthropologist in the examination and interpretation of skeletal trauma. Australian Journal of Forensic Sciences. 2016;49:261-80. https://doi.org/10.1080/00450618.2016.1 153715.
  • 3. Beschiu LM, Ardelean LC, Tigmeanu CV, Rusu L-C. Cranial and Odontological Methods for Sex Estimation—A Scoping Review. Medicina. 2022;58:1273-80. https://doi. org/10.3390/medicina58091273.
  • 4. Mello-Gentil T, Souza-Mello V. Contributions of anatomy to forensic sex estimation: focus on head and neck bones. Forensic Sciences Research. 2021;7:11-23. https:// doi.org/10.1080/20961790.2021.1889136.
  • 5. Plotkin LI, Bruzzaniti A, Pianeta R. Sexual Dimorphism in the Musculoskeletal System: Sex Hormones and Beyond. Journal of the Endocrine Society. 2024;8:153-60. https:// doi.org/10.1210/jendso/bvae153.
  • 6. Geršak ŽM, Salapura V, Podovšovnik E, Zupanič- Pajnič I. Targeting Optimal Bone Regions: Correlations Between Bone Density and DNA Quality in Small Skeletal Elements. Genes. 2025;16:291-8. https://doi.org/10.3390/2024;10:33712-9. https://doi.org/10.1016/j.heliyon.2024. e33712.
  • 7. Toneva D, Nikolova S, Tasheva-Terzieva E, Zlatareva D, Lazarov N. A Geometric Morphometric Study on Sexual Dimorphism in Viscerocranium. Biology. 2022;11:1333-9. https://doi.org/10.3390/biology11091333.
  • 8. Crebert I, Seckiner D, Nickson R, Berezowski V, Mallett X. A Comparative Analysis of Computed Tomography, Photogrammetry, and Structured Light Scanning for Biological Sex Estimation in Forensic Anthropology – A Review. Science & Justice. 2025;65:101263-9. https://doi. org/10.1016/j.scijus.2025.101263.
  • 9. Meral O, Meydan R, Toklu BB, Kaya A, Karadayi B, Acar T. Estimation of sex from computed tomography images of skull measurements in an adult Turkish population. Acta Radiologica. 2021;63:1513-21. https:// doi.org/10.1177/02841851211044978.
  • 10. Shrestha R, Wang X, Liu G, Wu Q, Zheng Y, Song F, et al. Sex estimation techniques based on skulls in forensic anthropology: A scoping review. Plos One. 2024;19:0311762. https://doi.org/10.1371/journal. pone.0311762.
  • 11. da Silva JC, Strazzi-Sahyon HB, Nunes GP, Andreo JC, Spin MD, Shinohara AL. Cranial anatomical structures with high sexual dimorphism in metric and morphological evaluation: A systematic review. Journal of Forensic and Legal Medicine. 2023;99:102592-9. https://doi. org/10.1016/j.jflm.2023.102592.
  • 12. Beschiu LM, Ardelean LC, Tigmeanu CV, Rusu L-C. Cranial and Odontological Methods for Sex Estimation—A Scoping Review. Medicina. 2022;58. https://doi. org/10.3390/medicina58091273.
  • 13. Mussabekova SA, Stoyan AO, Mkhitaryan XE, Zhautikova SB. Forensic evaluation of craniometric characteristics of the Kazakhstan population. Journal of Oral Biology and Craniofacial Research. 2024;14:370-7. https://doi.org/10.1016/j.jobcr.2024.04.004.
  • 14. Swift L, Obertova Z, Franklin D. Demonstrating the empirical effect of population specificity of anthropological standards in a contemporary Australian population. International Journal of Legal Medicine. 2023;138:537-45. https://doi.org/10.1007/s00414-023-03031-z.
  • 15. Kranioti EF, García-Donas JG, Can IO, Ekizoglu O. Ancestry estimation of three Mediterranean populations based on cranial metrics. Forensic Science International. 2018;286:265-8. https://doi.org/10.1016/j. forsciint.2018.02.014.
  • 16. Boussaid M, Brahim O, Bouanen I, Kenani M, Limem H, Mahjoub Y, et al. Sex determination by Ct –scan analysis of the mastoid bone: A cross-sectional study. Heliyon.
  • 17. Kumar Battan S, Sharma M, Gakhar G, Garg M, Singh P, Jasuja OP. Cranio-facial bones evaluation based on clinical CT data for sex determination in Northwest Indian population. Legal Medicine. 2023;64:102292-9. https:// doi.org/10.1016/j.legalmed.2023.102292.
  • 18. Hosseini A, Soleimannejad M, Javadi A, Kazemifar A, Darabi S, Pourkeramat S. Sex and Age Determination by Measurement of Foramen Magnum Dimensions on Computer Tomography Scanning Study in the Iranian Population. Journal of Craniofacial Surgery. 2021;32:604- 7. https://doi.org/10.1097/scs.0000000000007580.
  • 19. Olusanya AA, Aladelusi TO, Adedokun B. Anthropometric Analysis of the Nigerian Face: Any Conformity to the Neoclassical Canons? Journal of Craniofacial Surgery. 2018;29:1978-82. https://doi. org/10.1097/scs.0000000000004831.
  • 20. Velemínská J, Fleischmannová N, Suchá B, Dupej J, Bejdová Š, Kotěrová A, et al. Age-related differences in cranial sexual dimorphism in contemporary Europe. International Journal of Legal Medicine. 2021;135:2033- 44. https://doi.org/10.1007/s00414-021-02547-6.
  • 21. Bonicelli A, Zioupos P, Arnold E, Rogers KD, Xhemali B, Kranioti EF. Age related changes of rib cortical bone matrix and the application to forensic age-at-death estimation. Scientific Reports. 2021;11:2086-95. https:// doi.org/10.1038/s41598-021-81342-0.
  • 22. Toy S, Secgin Y, Oner Z, Turan MK, Oner S, Senol D. A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium. Scientific Reports. 2022;12:4278-86. https://doi.org/10.1038/s41598-022- 07415-w.
  • 23. Choi S-J, Lee W-J, Youn KH, Lozanoff S, Lee UY, Kim Y-S. Morphometric analysis of the hard palate in sex estimation among koreans using three-dimensional computed tomography. Scientific Reports. 2024;14:1-12. https://doi.org/10.1038/s41598-024-76436-4.
  • 24. Cekdemir YE, Mutlu U, Karaman G, Balci A. Estimation of sex using morphometric measurements performed on cranial computerized tomography scans. La radiologia medica. 2020;126:306-15. https://doi.org/10.1007/s11547- 020-01233-8.
  • 25. Duquesnel Mana M, Adalian P, Lynnerup N. Lateral angle and cranial base sexual dimorphism: a morphometric evaluation using computerised tomography scans of a modern documented autopsy population from Denmark. Anthropologischer Anzeiger. 2016;73:89-98. https://doi.org/10.1127/anthranz/2016/0424.
  • 26. Chatthai N, Sangchay N, Piyaman P, Pattarapanitchai P, Chomean S, Kaset C. Sex determination from foramen magnum parameters in Thai cadaveric donor. Forensic Science International: Reports. 2024;9:1-9. https://doi. org/10.1016/j.fsir.2024.100371.
  • 27. Klales A. Current State of Sex Estimation in Forensic Anthropology. Forensic Anthropology. 2021;4:118-33. https://doi.org/10.5744/fa.2020.3033.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Adli Tıp
Bölüm Araştırma Makalesi
Yazarlar

Emine Dursun Kalkan 0000-0002-1371-0963

Aysun Baransel 0000-0002-0550-3470

Melih Akşamoğlu 0000-0002-6599-3678

Murat Akbaba 0000-0001-9132-2424

Halil Kalkan 0000-0002-3263-7554

Yayımlanma Tarihi 25 Ağustos 2025
Gönderilme Tarihi 17 Mayıs 2025
Kabul Tarihi 15 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 39 Sayı: 2

Kaynak Göster

Vancouver Kalkan ED, Baransel A, Akşamoğlu M, Akbaba M, Kalkan H. Sex Determination Using Craniometric Parameters: A Computed Tomography- Based Assessment. ATD. 2025;39(2):125-3.

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