Department of Anatomy/Catholic Institute for Applied Anatomy, College of Medicine, The Catholic University of Korea, Republic of Korea.
Forensic Sci Int. 2013 Dec 10;233(1-3):121-5. doi: 10.1016/j.forsciint.2013.08.028. Epub 2013 Sep 8.
The proximal and distal parts of the femur show the differences between the sexes. Head diameter and the breadth of the epicondyle of the femur are known to distinguish males from females. The proximal end of the femur is studied to determine sex using discriminant analysis but; its distal end is not done. This study aims to develop an equation specific to Koreans by using the medial and lateral condyles of the femur, and to demonstrate the usefulness of equations for specific population groups. We used three-dimensional images from 202 Korean femurs. Twelve variables were measured with a computer program after the femurs were in alignment. Eleven variables showed a statistically significant difference between the sexes (P<0.01). The most accurate equation used width of the medial and lateral condyles (WDC), with of the medial condyle (WMC), depth of the lateral condyle (DLC), and depth of the intercondylar notch (DIN) (94.1%), and is as follows: D = 0.336 × WDC + (-0.097) × WMC + (-0.153) × DLC + 0.372 × DIN - 20.912. The second highest accuracy was 90.1% for the width dimensional group and WDC. This study shows that the medial and lateral condyles of the femur should be helpful for sex determination in situations where the skull and pelvis are missing and part of the femur is available. The study also demonstrates the need for different equations for different population groups.
股骨的近侧和远侧部分显示出性别差异。股骨的头直径和髁的宽度被认为可以区分男性和女性。股骨近端用于通过判别分析来确定性别,但不用于研究股骨远端。本研究旨在通过使用股骨的内、外侧髁开发特定于韩国人的方程,并展示特定人群组方程的有用性。我们使用了来自 202 个韩国股骨的三维图像。在对齐股骨后,使用计算机程序测量了 12 个变量。11 个变量在性别之间显示出统计学上的显著差异(P<0.01)。最准确的方程使用了内、外侧髁的宽度(WDC)、内髁的宽度(WMC)、外侧髁的深度(DLC)和髁间切迹的深度(DIN)(94.1%),如下所示:D = 0.336 × WDC + (-0.097) × WMC + (-0.153) × DLC + 0.372 × DIN - 20.912。第二个准确率最高的是宽度维度组和 WDC,为 90.1%。本研究表明,在颅骨和骨盆缺失且股骨部分可用的情况下,股骨的内、外侧髁有助于确定性别。该研究还表明,不同人群组需要不同的方程。