LABANOF, Laboratorio Di Antropologia E Odontologia Forense, Sezione Di Medicina Legale, Dipartimento Di Scienze Biomediche per La Salute, Università Degli Studi Di Milano, Milan, Italy.
Department of Experimental Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Int J Legal Med. 2020 Sep;134(5):1683-1690. doi: 10.1007/s00414-020-02292-2. Epub 2020 Apr 16.
There are several metric and morphological methods available for sex estimation of skeletal remains, but their reliability and applicability depend on the sexual dimorphism of the remains as well as on the availability of preserved bones. Some studies showed that age-related changes on bones can cause misclassification of sex. The purpose of this study was to establish the reliability of pelvic morphological traits and metric methods of sex estimation on relatively old individuals from a modern Italian skeletal collection. The data for this study were obtained from 164 individuals of the Milano CAL skeletal collection and average age of the samples was 75 years. In the pelvic morphological method, the recalibrated regression formula of Klales and colleagues (2012), pre-auricular sulcus, and greater sciatic notch morphology were used for sex estimation. With regard to the metric method, 15 standard measurements from upper and lower limbs were analyzed for sexual dimorphism. The results showed that in pelvic morphological approach, the application of regression formula of the revised Klales and colleague formula (2017) resulted in 100% accuracy. Classification rates of metric methods vary from 75.19 to 90.73% with the maximum epiphyseal breadth of proximal tibia representing the most discriminant parameter. This study confirms that the effect of age on sex estimation methods is not substantial, and both metric and morphological methods of sex estimation can be reliably applied to individuals of Italian descent in middle and late adulthood.
有几种度量和形态方法可用于骨骼遗骸的性别估计，但它们的可靠性和适用性取决于遗骸的性别二态性以及保存骨骼的可用性。一些研究表明，骨骼的年龄相关变化可能导致性别分类错误。本研究旨在确定基于骨盆形态特征和度量方法对来自现代意大利骨骼收藏的相对较老个体进行性别估计的可靠性。本研究的数据来自米兰 CAL 骨骼收藏的 164 个人体，样本的平均年龄为 75 岁。在骨盆形态学方法中，使用了 Klales 及其同事（2012 年）的重新校准回归公式、耳前切迹和坐骨大切迹形态来进行性别估计。关于度量方法，分析了上肢和下肢的 15 个标准测量值以进行性别二态性研究。结果表明，在骨盆形态学方法中，应用修订后的 Klales 同事公式（2017 年）的回归公式可达到 100%的准确率。度量方法的分类率从 75.19%到 90.73%不等，其中近端胫骨的最大骺宽代表最具判别力的参数。本研究证实，年龄对性别估计方法的影响不大，并且可以可靠地将形态学和度量学方法应用于意大利裔成年人的中晚期个体的性别估计。
