Maio Cláudia, Cunha Eugénia, Navega David
University of Coimbra, Centre for Functional Ecology, Laboratory of Forensic Anthropology, Department of Life Sciences, Calçada Martim de Freitas, Coimbra, Portugal.
National Institute of Legal Medicine and Forensic Sciences, South Branch, Lisbon, Portugal.
Forensic Sci Res. 2024 Feb 15;9(2):owae015. doi: 10.1093/fsr/owae015. eCollection 2024 Jun.
The biological profile estimation is the first step toward positive identification. However, it is not always possible to access a complete and well-preserved skeleton due to postmortem damage and taphonomic changes. As such, there is a need to develop new alternatives to analyze different bones of the human skeleton. The present study aims to analyze the patellar osteometry, with attention to its degree of sexual dimorphism, to establish a simple method for estimating sex in Portuguese adults. Six measurements were taken from 222 patella pairs, including 117 females and 105 males from the XXI Century Identified Skeleton Collection of the University of Coimbra. Subsequently, this method was validated in a different sample of 50 individuals equally representing both sexes. Maximum height stands out with a 77.0% of correct sex estimation, reaching 98.0% when applied to the new sample. The linear discriminant function analysis containing all the six variables showed the best results, with 80.2% of correct classification after cross-validation and 96.0% when applied to the independent sample.
生物特征估计是进行准确身份识别的第一步。然而，由于死后损伤和埋藏学变化，并非总能获得完整且保存良好的骨骼。因此，需要开发新的方法来分析人类骨骼的不同部位。本研究旨在分析髌骨测量数据，关注其性别二态性程度，以建立一种简单的方法来估计葡萄牙成年人的性别。从222对髌骨中进行了六项测量，这些髌骨来自科英布拉大学二十一世纪已识别骨骼收藏，其中包括117名女性和105名男性。随后，该方法在另一个由50名男女各半的个体组成的样本中进行了验证。最大高度在性别估计正确度方面表现突出，达到77.0%，应用于新样本时达到98.0%。包含所有六个变量的线性判别函数分析显示出最佳结果，交叉验证后正确分类率为80.2%，应用于独立样本时为96.0%。
