Bethard Jonathan D, Seet Billie L
Department of Anatomy and Neurobiology, Boston University School of Medicine, 72 East Concord St (L 1004) Boston, MA 02118, USA.
J Forensic Sci. 2013 Jan;58(1):101-3. doi: 10.1111/j.1556-4029.2012.02183.x. Epub 2012 May 4.
Numerous methods for establishing a biological profile exist; however, many of these methods rely on the recovery of several specific bones or on fragile skeletal elements that are sometimes irrecoverable. It is for this reason new methods utilizing other previously under-documented bones should be established and tested by the forensic anthropological community. This study tests the accuracy of Wescott's (J Forensic Sci 2000;45(2)) method for determining sex from the second cervical vertebra. Specimens were drawn from the donated skeletal collection curated at the Hamilton County Forensic Center (n = 57) and the William M. Bass Donated Skeletal Collection (n = 243). Both intra- and inter-observer error rates were low and accurate classifications ranged from 78% (females-Function 1) to 90.6% (males-Function 5). Of the five functions, Function 4 achieved the highest overall accuracy, with 260 individuals (86.7%) falling into the correct category. Overall, this method is an effective classificatory tool for sex estimation.
存在多种建立生物特征档案的方法;然而,其中许多方法依赖于几块特定骨骼的找回,或者依赖于有时无法找回的脆弱骨骼元素。正是由于这个原因,法医人类学领域应该建立并测试利用其他先前记录不足的骨骼的新方法。本研究测试了韦斯科特(《法医科学杂志》2000年;45(2))从第二颈椎确定性别的方法的准确性。标本取自汉密尔顿县法医中心管理的捐赠骨骼收藏(n = 57)和威廉·M·巴斯捐赠骨骼收藏(n = 243)。观察者内部和观察者之间的错误率都很低,准确分类范围从78%(女性 - 函数1)到90.6%(男性 - 函数5)。在这五个函数中,函数4的总体准确率最高,有260人(86.7%)被归入正确类别。总体而言,该方法是一种有效的性别估计分类工具。