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肱骨滑车缩窄和鹰嘴窝的轮廓形状分析:性别估计的见解及一种新的计算工具

Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool.

作者信息

Ammer Saskia, d'Oliveira Coelho João, Cunha Eugénia Maria

机构信息

Laboratory of Forensic Anthropology, Department of Life Sciences Calçada Martim de Freitas, University of Coimbra, Coimbra, 3000-456, Portugal.

Institute of Cognitive and Evolutionary Anthropology, University of Oxford, Banbury 64, Oxford, OX2 6PN, UK.

出版信息

J Forensic Sci. 2019 Nov;64(6):1788-1795. doi: 10.1111/1556-4029.14096. Epub 2019 May 31.

Abstract

Sex estimation through visual analysis of the distal humerus can contribute to establishing the biological profile of an unidentified skeletal individual. Using statistical shape modeling, the trochlear constriction open curves and olecranon fossa closed outlines of 151 humeri were digitized and analyzed. The shape configurations exhibited strikingly different degrees of sexual dimorphism when evaluated using linear discriminant analysis with leave-one-out cross-validation. The trochlear constriction performed poorly, correctly classifying 63.6% of the individuals. However, the olecranon fossa showed high sexual dimorphism, presenting a 94.0% accuracy. A simpler model using only two principal components was also generated. While the accuracy is slightly inferior (88.1%), it has the advantage of being constrained to bidimensional components that were translated into morphoscopic variables within a simulator interface. This allowed us to implement the method through a web application that does not require users to be trained in landmark digitization or have knowledge of geometric morphometrics.

摘要

通过对肱骨远端进行视觉分析来估计性别,有助于确定身份不明的骨骼个体的生物学特征。利用统计形状建模,对151例肱骨的滑车缩窄开口曲线和鹰嘴窝闭合轮廓进行数字化处理并分析。当使用留一法交叉验证的线性判别分析进行评估时,形状构型表现出明显不同程度的两性差异。滑车缩窄的表现不佳,正确分类的个体占63.6%。然而,鹰嘴窝显示出高度的两性差异,准确率为94.0%。还生成了一个仅使用两个主成分的更简单模型。虽然准确率略低(88.1%),但它的优点是被限制在二维成分上,这些成分在模拟器界面中被转化为形态学变量。这使我们能够通过一个网络应用程序来实施该方法,该应用程序不需要用户接受地标数字化方面的培训或具备几何形态计量学知识。

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