Centre for Forensic Science, The University of Western Australia, M420, 35 Stirling Highway, Crawley, 6009, Australia.
Int J Legal Med. 2012 Jul;126(4):549-58. doi: 10.1007/s00414-012-0684-8. Epub 2012 Mar 8.
A current limitation of forensic practice in Western Australia is a lack of contemporary population-specific standards for biological profiling; this directly relates to the unavailability of documented human skeletal collections. With rapidly advancing technology, however, it is now possible to acquire accurate skeletal measurements from 3D scans contained in medical databases. The purpose of the present study, therefore, is to explore the accuracy of using cranial form to predict sex in adult Australians. Both traditional and geometric morphometric methods are applied to data derived from 3D landmarks acquired in CT-reconstructed crania. The sample comprises multi-detector computed tomography scans of 200 adult individuals; following 3D volume rendering, 46 anatomical landmarks are acquired using OsiriX (version 3.9). Centroid size and shape (first 20 PCs of the Procrustes coordinates) and the inter-landmark (ILD) distances between all possible pairs of landmarks are then calculated. Sex classification effectiveness of the 3D multivariate descriptors of size and shape and selected ILD measurements are assessed and compared; robustness of findings is explored using resampling statistics. Cranial shape and size and the ILD measurements are sexually dimorphic and explain 3.2 to 54.3 % of sample variance; sex classification accuracy is 83.5-88.0 %. Sex estimation using 3D shape appears to have some advantages compared to approaches using size measurements. We have, however, identified a simple and biologically meaningful single non-traditional linear measurement (glabella-zygion) that classifies Western Australian individuals according to sex with a high degree of expected accuracy (87.5-88 %).
目前,西澳大利亚州法医实践的一个局限是缺乏针对特定当代人群的生物特征分析标准;这直接与无法获得有文件记载的人类骨骼收藏有关。然而,随着技术的迅速发展,现在已经可以从医疗数据库中的 3D 扫描中获取准确的骨骼测量值。因此,本研究的目的是探讨利用颅骨形态预测澳大利亚成年人性别的准确性。本研究应用了传统和几何形态测量学方法,对从 CT 重建颅骨中获得的 3D 标志点数据进行分析。样本包括 200 名成年个体的多探测器计算机断层扫描,在进行 3D 容积渲染后,使用 OsiriX(版本 3.9)获取 46 个解剖标志点。然后计算中心体大小和形状(Procrustes 坐标前 20 个主成分)以及所有可能的标志点对之间的标志点间距离(ILD)。评估和比较了大小和形状的 3D 多元描述符以及选定的 ILD 测量值的性别分类效果;通过重采样统计数据探索了研究结果的稳健性。颅骨形状和大小以及 ILD 测量值具有性别二态性,可解释样本方差的 3.2%至 54.3%;性别分类准确率为 83.5%至 88.0%。与使用尺寸测量值的方法相比,使用 3D 形状进行性别估计似乎具有一些优势。然而,我们已经确定了一种简单且具有生物学意义的单一非传统线性测量值(眉间-髁突),该测量值可以根据性别对西澳大利亚个体进行分类,具有很高的预期准确性(87.5%至 88%)。