Torimitsu Suguru, Makino Yohsuke, Saitoh Hisako, Sakuma Ayaka, Ishii Namiko, Yajima Daisuke, Inokuchi Go, Motomura Ayumi, Chiba Fumiko, Yamaguchi Rutsuko, Hashimoto Mari, Hoshioka Yumi, Iwase Hirotaro
Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Legal Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
Department of Legal Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
Forensic Sci Int. 2016 May;262:285.e1-5. doi: 10.1016/j.forsciint.2016.02.023. Epub 2016 Feb 21.
Accurate sex estimation based on measurements of dimorphic dimensions in human unknown remains is important as the first step toward making individual identification. The purpose of this study was to assess the sexual dimorphism of the scapula and to quantify the accuracy of sex estimation in a contemporary Japanese forensic sample using scapular measurements based on three-dimensional (3D) computed tomographic (CT) images. A total of 218 cadavers (109 males, 109 females) that underwent postmortem CT and subsequent forensic autopsy were used. Ten scapular measurements were performed on 3D CT reconstructed images that extracted only bone data, and were analyzed using descriptive statistics and discriminant function analyses (DFA). All measurements were dimorphic in terms of sex differences. Univariate DFA provided sex classification accuracy rates of 75.7-91.3%. Stepwise DFA yielded sex prediction accuracy rates of 93.1-94.5%. In conclusion, the scapular measurements using 3D CT images of a contemporary Japanese population may be useful for the estimation of skeletal sex in the field of forensic anthropology.
基于人类未知遗骸中两性异形尺寸测量进行准确的性别估计，作为个体识别的第一步非常重要。本研究的目的是评估肩胛骨的两性异形，并使用基于三维（3D）计算机断层扫描（CT）图像的肩胛骨测量方法，量化当代日本法医样本中性别估计的准确性。总共使用了218具尸体（109名男性，109名女性），这些尸体均接受了死后CT检查及随后的法医尸检。在仅提取骨骼数据的3D CT重建图像上进行了10项肩胛骨测量，并使用描述性统计和判别函数分析（DFA）进行分析。所有测量在性别差异方面均表现出两性异形。单变量DFA的性别分类准确率为75.7 - 91.3%。逐步DFA产生的性别预测准确率为93.1 - 94.5%。总之，使用当代日本人群的3D CT图像进行肩胛骨测量，可能有助于法医人类学领域的骨骼性别估计。
