Kranioti Elena F, Šťovíčková Lada, Karell Mara A, Brůžek Jaroslav
Department of Forensic Sciences, University of Crete, Medical School, Heraklion, Greece; Edinburgh Unit for Forensic Anthropology, School of History, Classics and Archaeology, University of Edinburgh, 4 Teviot Place, EH8 9AG, Edinburgh, UK.
Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Vini9cná 7, Prague, 128 43, Czech Republic.
Forensic Sci Int. 2019 Apr;297:371.e1-371.e6. doi: 10.1016/j.forsciint.2019.02.011. Epub 2019 Feb 21.
Sex estimation methods based on skeletal remains vary on the selection of skeletal element, data acquisition and statistical approach resulting in variable classification accuracies that are highly dependent on the sample population. The only exception of this rule seems to be the os coxa, that appears to differ consistently between males and females across the globe. Currently sex estimation based on the os coxa can be easily estimated by taking ten measurements, inputting these in the DPS2 software and getting a sex estimate and the probability of correct group assessment. The performance of the software is highly reliable as confirmed by a validation study by Brůžek et al. (2017). Yet, there are still many populations not represented in the reference sample used to develop the software. The current study aimed to validate DPS2 using a sample from Crete, Greece. A total of 133 os coxae were measured following instructions on DSP2. Data were used to estimate sex with the software and to create population specific formulae for Greeks. DSP2 classified 117/133 (85.7%) of the sample with over 95% posterior probability (PP) of correct classification. Of the individuals classified with over 95% PP, only 3 were misclassified (2.6%).The best population specific formula only improved this percentage by 2.1% which indicates that DSP2 is a reliable tool for sex estimation in the Greek sample and it is recommended as method of choice in sex estimation of remains of unknown ancestry. If Greek ancestry is confirmed, population-specific formulae can be used in conjunction with DSP2 for a more reliable sex estimation.
基于骨骼遗骸的性别估计方法在骨骼元素的选择、数据采集和统计方法上存在差异,这导致分类准确率各不相同,且高度依赖于样本群体。这条规则唯一的例外似乎是髋骨,全球范围内男性和女性的髋骨似乎始终存在差异。目前,基于髋骨的性别估计可以通过进行十次测量、将这些测量值输入DPS2软件并获得性别估计和正确分组评估的概率来轻松实现。正如Brůžek等人(2017年)的验证研究所证实的,该软件的性能高度可靠。然而,用于开发该软件的参考样本中仍未涵盖许多群体。本研究旨在使用来自希腊克里特岛的样本对DPS2进行验证。按照DSP2的说明,共测量了133块髋骨。数据用于通过该软件估计性别,并为希腊人创建特定人群的公式。DPS2对133个样本中的117个(85.7%)进行了分类,正确分类的后验概率(PP)超过95%。在分类后验概率超过95%的个体中,只有3个被错误分类(2.6%)。最佳的特定人群公式仅将这一百分比提高了2.1%,这表明DPS2是希腊样本中性别估计的可靠工具,建议作为未知血统遗骸性别估计的首选方法。如果确认是希腊血统,可以将特定人群的公式与DPS2结合使用,以进行更可靠的性别估计。