Center of Legal Medicine, Institute of Forensic Medicine, Goethe University Frankfurt, Frankfurt Main, Germany.
Forensic Sci Int. 2010 Feb 25;195(1-3):148-52. doi: 10.1016/j.forsciint.2009.12.010. Epub 2010 Jan 13.
Because of the increasing lack of recent bone collections, ethical issues concerning maceration procedures, and progress in radiological imaging techniques, computed tomography (CT) scans offer an alternative to traditional anthropological bone collection. The present study examined volume-rendered cranial CT (CCT) scans from 50 crania to morphologically evaluate sex characteristics. CCT scans were performed and scored by two teams (Teams A and B) of two examiners each (2x50=100 examinations) to evaluate the occurrence and/or absence of morphological traits. Altogether, 60 of 100 crania (31 Team A+29 Team B) crania were determined to be male, and 40 (19 Team A+21 Team B) were determined to be female when using the scoring system adapted from Knussmann. These results imply a sex determination accuracy rate of 96%. Only in one case was recalculation of weighting factors necessary to determine one additional correct classification. As a single parameter, arcus superciliaris evaluation permitted the most accurate sex determination (female, 84.2%; male, 85.5%). No significant difference in accuracy rates was observed between the two sexes (p<0.65, chi(2)=0.39, Fisher's exact test). Interobserver bias rates for both teams were very low (kappa=0.83). The present study shows that volume-rendered CCT images are suitable for the collection of data concerning morphologic sex determination of skulls. Thus, this method may be helpful in both actual forensic casework and the systematic reevaluation and improvement of classical anthropological methods and their adaptation to changing populations.
由于最近骨骼标本的缺乏、涉及骨骼软化程序的伦理问题以及放射影像学技术的进步,计算机断层扫描(CT)为传统的人类学骨骼采集提供了一种替代方法。本研究通过对 50 例颅骨的容积再现颅 CT(CCT)扫描进行了形态学评估,以评估性别特征。CCT 扫描由两个团队(团队 A 和 B)的两名检查者(2x50=100 次检查)进行,以评估形态特征的发生和/或缺失。总共,使用 Knussmann 改编的评分系统,确定 100 例颅骨中有 60 例(31 例团队 A+29 例团队 B)为男性,40 例(19 例团队 A+21 例团队 B)为女性。这些结果表明,性别确定准确率为 96%。只有在一种情况下,需要重新计算权重因素才能确定另外一个正确的分类。作为单一参数,眉弓评估允许最准确的性别确定(女性,84.2%;男性,85.5%)。两种性别之间的准确率没有显著差异(p<0.65,chi(2)=0.39,Fisher 精确检验)。两个团队的观察者间偏差率都非常低(kappa=0.83)。本研究表明,容积再现 CCT 图像适合收集有关颅骨形态性别确定的数据。因此,这种方法可能有助于实际法医学工作以及对经典人类学方法的系统重新评估和改进,并适应不断变化的人群。