Monge Calleja Álvaro M, Luna Leandro H, Aranda Claudia M, Santos Ana Luisa
Research Centre for Anthropology and Health, Department of Life Sciences, University of Coimbra. Calçada Martim de Freitas (3000-456), Coimbra, Portugal.
CONICET-IMHICIHU. Multidisciplinary Institute of History and Human Sciences. Saavedra 15 (1083). University of Buenos Aires, Faculty of Philosophy and Letters, Buenos Aires, Argentina.
Anthropol Anz. 2023 Sep 28;80(4):439-469. doi: 10.1127/anthranz/2022/1607.
Sex estimation is essential in both bioarchaeological and forensic research. Based on bibliographical research, this study aims to systematize and compare the existing methods and glance at the future on this research topic. The survey in and revealed 37 papers describing the generation of original procedures, and 25 validation studies. The results show that the pelvis, namely the ilium, is the most analyzed anatomical region, followed by the deciduous teeth, the cranium, the mandible, and the long bones. The morphometric approaches are addressed in greater proportion, both as original methods (n = 19) or validations (n = 24). Only one of the 19 approaches that require expensive equipment (conventional radiology, computer tomography, geometric morphometrics and 3D modelling) was tested. Most of them were generated during the 21 century; however, 24 have not been tested yet. Comparing all the methods tested, the percentages of correctly estimated cases are always lower in validation studies. It is suggested that the most promising ones be tested in documented samples by a group of researchers. Thus, the interobserver error would be evaluated and may also lead to new methodological proposals and refinements.
性别估计在生物考古学和法医学研究中都至关重要。基于文献研究,本研究旨在对现有方法进行系统化和比较,并展望该研究主题的未来发展。在[具体文献]和[具体文献]中的调查显示,有37篇论文描述了原创程序的产生,以及25项验证研究。结果表明,骨盆,即髂骨,是分析最多的解剖区域,其次是乳牙、颅骨、下颌骨和长骨。形态测量方法在原创方法(n = 19)或验证方法(n = 24)中所占比例更大。在19种需要昂贵设备的方法(传统放射学、计算机断层扫描、几何形态测量学和3D建模)中,只有一种经过了测试。其中大多数方法是在21世纪产生的;然而,有24种方法尚未经过测试。比较所有经过测试的方法,验证研究中正确估计案例的百分比总是较低。建议一组研究人员在有记录的样本中对最有前景的方法进行测试。这样,观察者间误差将得到评估,还可能会产生新的方法建议和改进。