A comparative analysis of sphenoid and frontal sinuses using cone beam computed tomography for sex determination

Junaid Ahmed , Namrata , Nanditha Sujir , Nandita Shenoy , Srikant Natarajan , Archana Muralidharan , Ashwin C. Shetty
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Abstract

Objectives

This study aimed to evaluate linear measurements of the frontal sinus (FS) and sphenoid sinus (SS) for sex identification on cone beam computed tomography (CBCT) images.

Methods

A comparative CBCT analysis was conducted on 200 full field of view (FOV) scans taken as part of routine dental investigations. Dimensions of the bilateral frontal and sphenoid sinuses were measured. Intra- and interobserver reliability were calculated. Independent t tests were used to compare the various parameters between sexes. Stepwise discriminant function analysis was used to determine sex. Additionally, the receiver operating characteristic (ROC) curve, area under the curve (AUC), sensitivity, and specificity were also determined. A p value < 0.05 was considered significant.

Results

A total of 200 CBCT scans were included in the study. The mean age (±SD) among males was 25.66 (±7.11) and that among females was 24.64 (±5.12). The ROC curve revealed that the right length of the frontal sinus showed the greatest accuracy in sex identification in comparison to other linear measurements of the FS and SS. The results of our study indicated that the equation obtained from stepwise discriminant function analysis can aid in sex determination with an accuracy of 76.5 %.

Conclusion

Our findings support the sexual dimorphism of linear measurements of FS and SS. There was an improvement in the accuracy of sex prediction when the linear measurements of FS and SS were considered in combination rather than in isolation. The derived equation can be an adjunctive tool for sex identification for the representative population.

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利用锥束计算机断层扫描对蝶窦和额窦进行性别鉴定的比较分析
本研究旨在评估锥形束计算机断层扫描(CBCT)图像上用于性别鉴定的额窦(FS)和蝶窦(SS)的线性测量值。方法 对作为常规牙科检查一部分的 200 张全视场(FOV)扫描图像进行 CBCT 比较分析。测量了双侧额窦和蝶窦的尺寸。计算了观察者内部和观察者之间的可靠性。使用独立 t 检验比较不同性别的各种参数。逐步判别功能分析用于确定性别。此外,还测定了接收者操作特征曲线(ROC)、曲线下面积(AUC)、灵敏度和特异性。研究共纳入了 200 例 CBCT 扫描结果。男性的平均年龄(±SD)为 25.66(±7.11)岁,女性为 24.64(±5.12)岁。ROC 曲线显示,与 FS 和 SS 的其他线性测量值相比,额窦右侧长度在性别识别中显示出最高的准确性。我们的研究结果表明,通过逐步判别函数分析得出的方程可以帮助进行性别鉴定,准确率为 76.5%。将 FS 和 SS 的线性测量结果综合考虑而不是单独考虑时,性别预测的准确性有所提高。推导出的方程可作为代表性人群性别鉴定的辅助工具。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
133
审稿时长
167 days
期刊介绍: Journal of Oral Biology and Craniofacial Research (JOBCR)is the official journal of the Craniofacial Research Foundation (CRF). The journal aims to provide a common platform for both clinical and translational research and to promote interdisciplinary sciences in craniofacial region. JOBCR publishes content that includes diseases, injuries and defects in the head, neck, face, jaws and the hard and soft tissues of the mouth and jaws and face region; diagnosis and medical management of diseases specific to the orofacial tissues and of oral manifestations of systemic diseases; studies on identifying populations at risk of oral disease or in need of specific care, and comparing regional, environmental, social, and access similarities and differences in dental care between populations; diseases of the mouth and related structures like salivary glands, temporomandibular joints, facial muscles and perioral skin; biomedical engineering, tissue engineering and stem cells. The journal publishes reviews, commentaries, peer-reviewed original research articles, short communication, and case reports.
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