Chiba Fumiko, Makino Yohsuke, Torimitsu Suguru, Motomura Ayumi, Inokuchi Go, Ishii Namiko, Hoshioka Yumi, Abe Hiroko, Yamaguchi Rutsuko, Sakuma Ayaka, Nagasawa Sayaka, Saito Hisako, Yajima Daisuke, Fukui Yuta, Iwase Hirotaro
Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan; Department of Legal Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, Chiba Prefecture 260-8670, Japan.
Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan; Department of Legal Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, Chiba Prefecture 260-8670, Japan.
Forensic Sci Int. 2018 Nov;292:262.e1-262.e6. doi: 10.1016/j.forsciint.2018.09.027. Epub 2018 Oct 5.
We aimed to reproduce the anthropometrical measurements of femoral dimensions using multi-planar reconstruction (MPR) computed tomography (CT); to assess the feasibility of sex estimation using femoral measurements through this approach, and to establish the corresponding sex estimation thresholds in the modern Japanese population. We used data on 224 cadavers (116 male and 108 female) that were subjected to postmortem CT and subsequent forensic autopsy at our department between October 2009 and July 2016. Four femoral measurements were obtained. Receiver operating characteristic (ROC) curve analysis was performed to test the overall ability of the variables in sex estimation, while the accuracy of the sex estimation was measured by the area under the ROC curve (AUC). The femoral bicondylar breadth showed the largest AUC values (left; 0.973, right; 0.974), followed by the maximum head diameter (left; 0.951, right; 0.955), and maximum femoral length (left; 0.885, right; 0.887). To the best of our knowledge, this is the first report to assess sex estimation based on femoral measurements, using MPR CT images.
我们旨在使用多平面重建（MPR）计算机断层扫描（CT）重现股骨尺寸的人体测量学数据；评估通过这种方法利用股骨测量进行性别估计的可行性，并在现代日本人群中建立相应的性别估计阈值。我们使用了2009年10月至2016年7月期间在我们科室接受死后CT检查及后续法医尸检的224具尸体（116例男性和108例女性）的数据。获取了四项股骨测量数据。进行了受试者工作特征（ROC）曲线分析，以测试这些变量在性别估计中的总体能力，同时通过ROC曲线下面积（AUC）来衡量性别估计的准确性。股骨双髁宽度显示出最大的AUC值（左侧；0.973，右侧；0.974），其次是股骨头最大直径（左侧；0.951，右侧；0.955），以及股骨最大长度（左侧；0.885，右侧；0.887）。据我们所知，这是第一份使用MPR CT图像基于股骨测量评估性别估计的报告。
