Sexing the sternal rib end in modern Greeks: A virtual osteometric approach using high-resolution 3D surface models.

IF 0.7 4区 社会学 Q3 ANTHROPOLOGY Homo-Journal of Comparative Human Biology Pub Date : 2022-11-09 DOI:10.1127/homo/2022/1499
Ioanna Karagiorgou, Ioanna Anastopoulou, Fotios Alexandros Karakostis, Elena Kranioti, Konstantinos Moraitis
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Abstract

Sex determination is one of the first biological attribute to be assessed when unidentified remains surface. In material of forensic interest, being able to use every skeletal element available for identification purposes is of paramount importance. The osteometric method from the sternal rib end has been found to generate accurate sex estimates, but as various studies have proved, all osteometric methods should be population-specific, as one equation does not fit all. The aim of this study is to assess sexual dimorphism in a contemporary Greek population sample of 68 males and 43 females, with the use of discriminant function analysis. The superior-inferior height (SIH) and anterior-posterior breadth (APB) from the third to fifth sternal rib ends of both sides were taken from 3D models created with the use of a hand-held 3D scanner. The results demonstrated that SIH is more sexually dimorphic than APB (alpha value of .05) while the application of İşcan's (1985) formula on the contemporary Greek sample, provided results of low accuracy, ranging from 48.6-52.4%. The cross-validated discriminant functions equations for the current sample, produced results ranging between 74.0-82.9% indicating that population-specific formulas produce results of higher accuracy, that are vital in cases of forensic interest.

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现代希腊人胸骨末端的性别鉴定:使用高分辨率3D表面模型的虚拟骨测量方法。
当不明遗骸浮出水面时,性别决定是首先要评估的生物属性之一。在法医感兴趣的材料中,能够利用每一个可用的骨骼元素进行鉴定是至关重要的。从胸骨肋骨端开始的骨测量方法已经被发现可以产生准确的性别估计,但正如各种研究证明的那样,所有的骨测量方法都应该是针对特定人群的,因为一个方程并不适用于所有人。本研究的目的是利用判别函数分析,评估当代希腊人口样本中68名男性和43名女性的性别二态性。使用手持式3D扫描仪创建3D模型,获取两侧第三至第五胸骨肋骨两端的上下高度(SIH)和前后宽度(APB)。结果表明,SIH比APB更具性别二态性(alpha值为0.05),而将İşcan(1985)公式应用于当代希腊样本,准确度较低,范围为48.6-52.4%。当前样本的交叉验证判别函数方程产生的结果范围在74.0-82.9%之间,表明特定人群公式产生的结果精度更高,这在法医兴趣的情况下至关重要。
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CiteScore
1.50
自引率
0.00%
发文量
6
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