Cranial measurements obtained by three-dimensional computed tomography technique in the estimation of sex of contemporary Black South Africans

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Forensic Imaging Pub Date : 2024-03-08 DOI:10.1016/j.fri.2024.200585
Oriasotie M Ujaddughe , Jenny Haberfeld , Mubarak A Bidmos , Oladiran I Olateju
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Abstract

Human identification forms an integral part of forensic and biological anthropology. For proper identification, a biological profile made up of biodata such as age, sex, ancestry, antemortem stature, and factors of individualization, is obtained and stored for use by anthropologists. A correct sex estimation can help unravel other anthropological parameters. South Africa has a multi-dimensionally high crime rate and its largest distinct population group (Black South Africans) is most affected by such crimes. Several authors have in the past used cranial measurements to carry out sex discrimination among South Africans, such attempts have largely been done using direct assessment of post-mortem specimens and on subjects of European Descent. This study, therefore, attempted to overcome these drawbacks by using a non-invasive method, the three-dimensional computed tomography (3DCT) to obtain population-specific data from a contemporary Black South African population group. It obtained measurements from cranial CT records of 350 Black South Africans (50 % sex ratio) housed in the Radiology Department of Charlotte Maxeke Johannesburg Academic Hospital. The Xiris and IntelliSpace software were used to reconstruct the images into three-dimensional forms from which measurements were taken. Evaluation of previously derived equations using data from the current study yielded low average classification accuracies which necessitated the formulation of new equations. Discriminant function analysis yielded acceptably high average classification accuracies for sex estimation which ranged from 78.3 % to 82.9 %.

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通过三维计算机断层扫描技术获得的颅骨测量结果用于估计当代南非黑人的性别
人体识别是法医和生物人类学的一个组成部分。为了进行正确的身份识别,人类学家需要获得并储存由年龄、性别、祖先、死前身材和个体化因素等生物数据组成的生物档案。正确的性别估计有助于揭示其他人类学参数。南非的犯罪率多方面都很高,其最大的独特人口群体(南非黑人)受此类犯罪的影响最大。过去曾有几位学者利用颅骨测量来对南非人进行性别鉴别,但这些尝试主要是通过对死后标本和欧洲后裔受试者进行直接评估来完成的。因此,本研究试图利用一种非侵入性方法--三维计算机断层扫描(3DCT)--从当代南非黑人群体中获取特定人群的数据,从而克服这些缺点。它从夏洛特-麦克斯克约翰内斯堡学术医院放射科的 350 名南非黑人(性别比为 50%)的头颅 CT 记录中获得了测量数据。Xiris 和 IntelliSpace 软件用于将图像重建为三维形式,并据此进行测量。使用本次研究的数据对之前得出的公式进行评估后发现,平均分类准确率较低,因此有必要制定新的公式。判别函数分析得出的性别估计平均分类准确率较高,从 78.3% 到 82.9% 不等。
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来源期刊
Forensic Imaging
Forensic Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.20
自引率
27.30%
发文量
39
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