Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic.
Department of Software and Computer Science, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic.
J Forensic Sci. 2021 Mar;66(2):694-699. doi: 10.1111/1556-4029.14603. Epub 2020 Oct 26.
The skull, along with the pelvic bone, serves an important source of clues as to the sex of human skeletal remains. The frontal bone is one of the most significant sexually dimorphic structures employed in anthropological research, especially when studied by methods of virtual anthropology. For this reason, many new methods have been developed, but their utility for other populations remains to be verified. In the present study, we tested one such approach-the landmark-free method of Bulut et al. (2016) for quantifying sexually dimorphic differences in the shape of the frontal bone, developed using a sample of the Turkish population. Our study builds upon this methodology and tests its utility for the Czech population. We evaluated the shape of the male and female frontal bone using 3D morphometrics, comparing virtual models of frontal bones and corresponding software-generated spheres. To do so, we calculated the relative size of the frontal bone area deviating from the fitted sphere by less than 1 mm and used these data to estimate the sex of individuals. Using our sample of the Czech population, the method estimated the sex correctly in 72.8% of individuals. This success rate is about 5% lower than that achieved with the Turkish sample. This method is therefore not very suitable for estimating the sex of Czech individuals, especially considering the significantly greater success rates of other approaches.
颅骨与骨盆一样,为人类骨骼遗骸的性别提供了重要线索。额骨是人类学研究中使用的最重要的性别二态性结构之一,特别是在使用虚拟人类学方法研究时。出于这个原因,已经开发出许多新方法,但它们在其他人群中的适用性仍有待验证。在本研究中,我们测试了一种这样的方法—— Bulut 等人(2016 年)的无标志方法,用于量化额骨形状的性别二态性差异,该方法是使用土耳其人群样本开发的。我们的研究建立在此方法的基础上,并测试其对捷克人群的适用性。我们使用 3D 形态计量学评估了男性和女性额骨的形状,比较了额骨的虚拟模型和相应的软件生成球体。为此,我们计算了偏离拟合球体小于 1 毫米的额骨区域的相对大小,并使用这些数据估计个体的性别。使用我们的捷克人群样本,该方法正确估计了 72.8%个体的性别。这一成功率比土耳其样本低约 5%。因此,该方法不太适合估计捷克个体的性别,尤其是考虑到其他方法的成功率要高得多。