Sex estimation using direct gonial angle measurement in 16-24 years old Indonesian population

Q4 Dentistry
Raudin Ghazani, D. Adespin, R. Saputri, R. Boedi
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引用次数: 0

Abstract

Introduction: Sex determination an important role in post-mortem (PM) profile reconstruction, which enables to reduce the possibility of identification. Gonial angle (GA) of mandible is a reliable sex parameter through skeletal examination. However, given frequent limited resources in forensic setting, direct GA measurement approach on deceased’s body is more practicable. Objectives: This study aims to evaluate GA discriminative ability in sex estimation by using direct measurement method in 16-24 years old Indonesian population. Material and methods: One hundred individuals (M = 43, F = 57) between 16-24 years old from Jepara District, Central Java, Indonesia, were selected for the measurement of both left (LGA) and right (RGA) gonial angle using a goniometer. Inter-and intra-observer reliability were 0.906 and 0.936, respectively, after one month using intra-class correlation coefficients (ICC). Measured LGA and RGA from males and females were compared using Mann-Whitney U -test, and Pearson’s correlation between LGA and RGA were calculated. Binary logistic regression and ROC curve models were applied to analyze GA capability in sex discrimination. Results: There was no significant difference between LGA and RGA measurements, and a high correlation was detected ( r = 0.73). Both LGA and RGA had significant value to predict sex. AUC value of LGA was 0.615 ( p = 0.048; 95% CI: 0.51-0.73) and RGA was 0.637 ( p = 0.015; 95% CI: 0.53-0.74). Conclusions: The proposed direct examination method of GA to predict sex shows a low discriminating performance on both LGA and RGA variables.
印尼16-24岁人群直接卵形角测量的性别估计
简介:性别鉴定在尸检(PM)剖面重建中起着重要作用,可以减少鉴定的可能性。下颌骨角(GA)是一个可靠的骨性指标。然而,由于法医环境中资源有限,直接测量死者尸体的遗传算法更为可行。目的:采用直接测量法对印尼16 ~ 24岁人群的遗传算法在性别估计中的判别能力进行评价。材料和方法:选取印度尼西亚中爪哇Jepara地区16-24岁的100人(M = 43, F = 57),用测角仪测量左(LGA)和右(RGA)角。使用类内相关系数(ICC),一个月后观察者间和观察者内信度分别为0.906和0.936。采用Mann-Whitney U检验比较男性和女性测量的LGA和RGA,并计算LGA和RGA之间的Pearson相关性。采用二元逻辑回归和ROC曲线模型分析遗传算法在性别歧视中的应用能力。结果:LGA与RGA测量值无显著性差异,相关性高(r = 0.73)。LGA和RGA对性别预测均有显著价值。LGA的AUC值为0.615 (p = 0.048;95% CI: 0.51-0.73), RGA为0.637 (p = 0.015;95% ci: 0.53-0.74)。结论:本文提出的遗传算法预测性别的直接检验方法对LGA和RGA变量的判别性能较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Stomatology
Journal of Stomatology Dentistry-Dentistry (all)
CiteScore
0.80
自引率
0.00%
发文量
18
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