Estimation of sex using craniofacial dimensions: a study of CT scan images in Kaduna State, Nigeria

Year 2023, Volume: 48 Issue: 2, 607 - 615, 02.07.2023

Aliyu Jaafar , Tanko Murdakai Moses Asongu Tersoo Abdulrazak Muhammad Zainab M. Bauchi Usman Farrau , Ibrahim Sambo Aliyu Lawan H. Adamu Muhammad Zaria Ibrahim Yusuf Nadabo Abdullahi Zaharaddeen Muhammad Zaharaddeen Muhammad Yusuf Amiru Jaafar

https://doi.org/10.17826/cumj.1219426

Abstract

Purpose: The aim of this study is to evaluate the potential of craniofacial dimensions in estimating sex in a sample population in Kaduna State, Nigeria.
Materials and Methods: This is a retrospective study of normal CT scan images of 399 Crania (comprising 236 males and 163 females) of age range 18–95 years that came for CT scans for the diagnostic purpose at the National Ear Care Centre, Kaduna between the years of 2017–2019. The images were randomly taken at the archives of the Radiology Department of the institute on an axial plane. The five craniofacial dimensions were measured directly from the computer screen using Vitrea CT Software.
Results: Maximum cranial width (13.49±0.57 cm), maximum cranial length (18.11±0.74 cm), and bizygomatic length (12.64±0.58 cm) of males were significantly greater than in females (13.35±0.49 cm), (17.82±0.66 cm) and (12.22±0.59 cm) respectively. The bizygomatic length on the receiver operating characteristic curve (Area under the curve = 0.711), logistic regression (odd ratio = 1.254), and discriminant function analysis (percentage accuracy after cross validation = 67.4 %.) was the best single variable for estimating sex. Bizygomatic and maximum cranial length were selected as the significant estimators of sex by multivariate logistic regression with Adjusted Odd Ratios of 1.412 and 3.984 respectively, as well as discriminant function analysis (percentage accuracy after cross validation = 66.9%).
Conclusion: Among the sample population in Kaduna State, Nigeria, there is sexual dimorphism in some of the craniofacial variable found in CT scan images. Multivariate logistic regression may be the best model to utilize for predicting sex among the Kaduna State sample group.

Keywords

Forensic Science, Craniofacial, Sex estimation, Anthropology.

Supporting Institution

NIL

Project Number

95

Thanks

Thanks

Kraniyofasiyal boyutlar kullanarak cinsiyet tahmini: Kaduna Eyaleti, Nijerya'da BT tarama görüntüleri çalışması

Abstract

Amaç: Bu çalışmanın amacı, Kaduna eyaletinin Nijerya'daki örnek bir popülasyonda cinsiyeti tahmin etmede kraniyofasiyal boyutların potansiyelini değerlendirmektir.
Gereç ve Yöntem: Bu, 18-95 yaş aralığında 399 Crania'nın (236 erkek ve 163 kadın) normal BT tarama görüntülerinin retrospektif bir çalışmasıdır. 2017-2019 yılları. Görüntüler rastgele bir eksenel düzlemde Enstitünün Radyoloji Bölümü arşivlerinde çekildi. Beş kraniyofasiyal boyut, Vitrea CT yazılımı kullanılarak doğrudan bilgisayar ekranından ölçüldü.
Bulgular: Maksimum kraniyal genişlik (13.49 ± 0.57 cm), maksimum kraniyal uzunluk (18.11 ± 0.74 cm) ve tuhaf uzunluk (12.64 ± 0.58 cm) erkeklerden önemli ölçüde daha büyüktü (17.82 ± 0.49 cm) (17.82 ± 0.66 ( CM) ve (12.22 ± 0.59 cm). Alıcı çalışma karakteristik eğrisi (eğrinin altındaki alan = 0.711), lojistik regresyon (tek oran = 1.254) ve ayırt edici fonksiyon analizi (çapraz validasyondan sonra yüzde doğruluğu = %67.4) üzerindeki tuhaf uzunluk. . Bizgomatik ve maksimum kraniyal uzunluk, sırasıyla 1.412 ve 3.984 ayarlanmış tek oranlara sahip çok değişkenli lojistik regresyon ile cinsiyetin önemli tahmin edicileri olarak seçildi (ayrımcı fonksiyon analizi (çapraz validasyondan sonra yüzde doğruluk =%66.9).
Sonuç: Nijerya, Kaduna Eyaletindeki örneklem popülasyonunda, BT tarama görüntülerinde bulunan bazı kraniyofasiyal değişkenlerde cinsel dimorfizm vardır. Çok değişkenli lojistik regresyon, Kaduna Eyaleti örneklem grubu arasında cinsiyeti tahmin etmek için kullanılacak en iyi model olabilir.

Keywords

Adli bilim, kraniyofasiyal, cinsiyet tahmini, antropoloji

Project Number

95

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