Introna F, Di Vella G, Campobasso C P
Institute of Legal Medicine, University of Bari, Italy.
Forensic Sci Int. 1998 Jul 6;95(1):39-45. doi: 10.1016/s0379-0738(98)00080-2.
The authors have analyzed 80 skeletons (40 males and 40 females) from the collection at the Institute of Legal Medicine of the University of Bari belonging to a known contemporary Southern Italian population; time of death was around 1970 and ages ranged from 25 to 80 years. Seven measurements taken on 80 intact, undeformed right patellae (max height, max width, thickness, height and width of the external facies articularis, height and width of the internal facies articularis) were used to determine sex by multivariate discriminant analysis. One function associating two parameters (max width and thickness) obtained the highest value of correct sex determination with a rate of 83.3%; other functions showed a higher percentage of misclassification (up to 17.5%). This study tests the success rate of correct sex prediction based exclusively on patellar dimensions. The discriminant factors carried out by statistical analysis may aid the forensic anthropologist when no other human skeletal remains suitable for sex determination are available.
作者分析了来自巴里大学法医学研究所馆藏的80具骨骼（40名男性和40名女性），这些骨骼属于已知的当代意大利南部人群；死亡时间约为1970年，年龄在25岁至80岁之间。对80个完整、未变形的右髌骨进行了七项测量（最大高度、最大宽度、厚度、外侧关节面的高度和宽度、内侧关节面的高度和宽度），通过多变量判别分析来确定性别。一个关联两个参数（最大宽度和厚度）的函数在正确性别判定方面获得了最高值，正确率为83.3%；其他函数显示出更高的错误分类百分比（高达17.5%）。本研究测试了仅基于髌骨尺寸进行正确性别预测的成功率。当没有其他适合进行性别判定的人类骨骼遗骸时，通过统计分析得出的判别因素可能会对法医人类学家有所帮助。
