头骨上两个三角形的性别估计

Berkay Yaşar, M. Sağır
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引用次数: 1

摘要

根据骨骼进行性别估计是构建未鉴定骨骼遗骸生物图谱的重要分析。三角形面积是通过头骨的线性测量来计算的,并且正在开发用于性别估计的模型。本研究的目的是从头骨中的两个三角形推导出判别函数方程。这项研究的材料包括112个个体(56名男性和56名女性)的头骨,这些头骨的年代可以追溯到奥斯曼晚期,收集自伊斯坦布尔卡拉卡赫梅特公墓。从这一系列已知性别的头骨中进行了六次线性测量,面部和枕部三角形区域由Heron公式确定。计算TEM、rTEM、R系数和ICC以确定观察者内和观察者间误差。采用ROC曲线分析法评价各标准的性别判别力。T检验用于确定性别之间的差异,判别函数分析用于创建公式。在该研究中,确定了6次测量的观察者内和观察者间误差率较低(TEM=0.16-0.94mm;rTEM=0.74-2.08%;R=0.91-0.99;ICC=0.951-0.992)。所有变量在性别之间存在显著差异(p<0.05)。根据ROC分析,三角形区域的性别辨别能力相似(AUC;枕骨三角形区域0.727,面部三角形区域0.736)。本研究的结果表明,所建立的4个方程正确分类性别的比率在67%至73.2%之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sex estimation from two triangles on the skull
Sex estimation from skeletons is an important analysis to construct a biological profile of an unidentified skeletal remains. Triangle area is calculated with linear measurements taken from the skull, and models are being developed for sex estimation. The aim of this study was to derive discriminant function equations from two triangles in the skull. The material of the study consists of the skulls of 112 individuals (56 males and 56 females) which are dated to the Late Ottoman Period and collected from the Istanbul Karacaahmet Cemetery. Six linear measurements were taken from the skulls of this series of known sex, and the facial and occipital triangle areas were determined by the Heron formula. TEM, rTEM, R coefficients and ICC were calculated to determine the intra-observer and inter-observer error. The sex discrimination power of each criterion was evaluated by ROC curve analysis. T-test was used to determine the differences between the sexes, and discriminant function analysis was used to create formulas. In the study, it was determined that the intra-observer and inter-observer error rates of 6 measurements were low (TEM = 0.16-0.94 mm; rTEM = 0.74-2.08%; R = 0.91-0.99; ICC = 0.951-0.992). All variables differed significantly between sex (p<0.05). According to the ROC analysis, the sex discrimination power of the triangle areas was similar (AUC; occipital triangle area 0.727, facial triangle area 0.736). As a result of the present study, it was determined that the 4 equations established correctly classified sex at rates ranging from 67% to 73.2%.
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