Belaldavar C, Acharya A B, Angadi P
Department of Oral Pathology and Microbiology, KLE Academy of Higher education and Research, VK Institute of Dental Sciences, JNMC Campus, Nehru Nagar, Belagavi, Karnataka - India.
Department of Forensic Odontology, SDM College of Dental Sciences & Hospital, Dharwad, Karnataka - India.
J Forensic Odontostomatol. 2019 Sep 30;37(2):45-50.
Sex estimation of skeletons is important in forensic reconstructive identification. The mandible is a durable component that is suitable to discriminate the sexes while lateral cephalometry is a standardised radiographic technique accepted as a tool in personal identification. Limited data is available for the mandibular/gonial angle as a parameter for sex assessment using lateral cephalometric radiographs. The aim of this study is to determine the gonial angle's accuracy in sexing Indians using a new digital method and statistical approach.
The sample comprised of 304 digital lateral cephalometric radiographs (155 females and 149 males, age between 18-30 years) of Indian subjects. The mandibular/gonial angle was measured on these radiographs using Adobe Photoshop software using tools available therein. The obtained angles for the sexes were subjected to logistic regression analysis (LRA), which forms a composite of weighted independent variables using a multivariate strategy.
The average angle was 122.7° for females and 121.1°for males. LRA produced an accuracy rate of 56.3% in sex assessment, with females being more accurately identified (61.9%) than males (50.3%).
The study demonstrated significant univariate sexual dimorphism among males and females in this population. However, the sex prediction value of this approach was low and thus may not be useful in sex estimation involved in human identification of Indians.
在法医重建鉴定中，骨骼的性别估计很重要。下颌骨是一个耐用的组成部分，适合用于区分性别，而侧位头影测量是一种标准化的放射学技术，被公认为个人识别的工具。关于使用侧位头影测量X线片将下颌角/下颌升支角作为性别评估参数的数据有限。本研究的目的是使用一种新的数字方法和统计方法来确定下颌升支角在印度人群性别鉴定中的准确性。
样本包括304张印度受试者的数字化侧位头影测量X线片（155名女性和149名男性，年龄在18至30岁之间）。使用Adobe Photoshop软件中的可用工具在这些X线片上测量下颌角/下颌升支角。对获得的两性角度进行逻辑回归分析（LRA），该分析使用多变量策略形成加权独立变量的组合。
女性的平均角度为122.7°，男性为121.1°。LRA在性别评估中的准确率为56.3%，女性的准确识别率（61.9%）高于男性（50.3%）。
该研究表明该人群中男性和女性之间存在显著的单变量性二态性。然而，这种方法的性别预测价值较低，因此可能对印度人身份识别中的性别估计没有用处。
