Department of Anatomy, School of Medicine, The University of Jordan, Amman, 11942, Jordan.
Radiology Department, Jordan University Hospital, Amman, 13046, Jordan.
Anthropol Anz. 2021 Nov 18;78(4):317-329. doi: 10.1127/anthranz/2021/1460.
Several studies have shown variability in basicranial measurements between populations. Therefore, each population should have specific standards to optimize the accuracy of identification. The aim of this study was to evaluate the sexual dimorphism in foramen magnum and occipital condyles measurements using 3D multidetector computed tomography (MDCT), and to assess their utility and reliability for sex estimation in a Jordanian population by means of discriminant function analyses. A total of 500 MDCT scans (288 males and 212 females) were used and a total of 8 basicranial measurements were studied (3 measurements were derived from foramen magnum, and 5 measurements were derived from occipital condyles). Significant sexual dimorphism was found in all basicranial measurements. The most dimorphic variables were length of occipital condyle and maximum bicondylar distance. Including all variables, multivariate and stepwise functions gave an overall accuracy of 77.8% and 78.6%, respectively. However, the multivariate analyses conducted separately for measurements derived from foramen magnum and occipital condyles gave lower overall accuracy of 68.6% and 70.0%, respectively. Basicranial measurements derived from foramen magnum alone predicted males with relatively higher accuracy but were poor at predicting females in the sample (82.6% were males, 49.5% were females, sex bias 33.1%). Adding occipital condyles measurements to the multivariate analysis increased the percentage of correct sexing in females and reduced considerably the sex bias (78.8% male, 76.4% female, sex bias 1.4%). Discriminant function analysis using basicranial measurements derived from both foramen magnum and occipital condyles measurements can be utilized to estimate sex in our population.
多项研究表明,不同人群的颅底测量值存在差异。因此,每个群体都应该有特定的标准来优化识别的准确性。本研究旨在通过三维多排螺旋 CT(MDCT)评估枕骨大孔和枕髁测量的性别二态性,并通过判别函数分析评估其在约旦人群中用于性别估计的实用性和可靠性。共使用了 500 个 MDCT 扫描(288 名男性和 212 名女性),研究了 8 项颅底测量值(3 项来自枕骨大孔,5 项来自枕髁)。所有颅底测量值均存在显著的性别二态性。最具二态性的变量是枕骨髁的长度和最大双髁距。包括所有变量在内,多元和逐步函数的总体准确性分别为 77.8%和 78.6%。然而,对来自枕骨大孔和枕髁的测量值分别进行多元分析的结果表明,总体准确性分别为 68.6%和 70.0%。单独来自枕骨大孔的颅底测量值预测男性的准确性相对较高,但预测样本中的女性准确性较差(82.6%为男性,49.5%为女性,性别偏差 33.1%)。将枕骨髁测量值加入多元分析可提高女性正确性别鉴定的百分比,并大大降低性别偏差(78.8%为男性,76.4%为女性,性别偏差 1.4%)。使用来自枕骨大孔和枕骨髁测量值的颅底测量值的判别函数分析可用于估计我们人群中的性别。