UNASSIGNED: 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.
UNASSIGNED: 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 %.
UNASSIGNED: 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.
■作为常规牙科检查的一部分,对200次全视野(FOV)扫描进行了比较CBCT分析。测量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。使用独立的t检验来比较性别之间的各种参数。使用逐步判别函数分析来确定性别。此外,接收器工作特性(ROC)曲线,曲线下面积(AUC),灵敏度,并确定了特异性。P值<0.05被认为是显著的。
■研究中包括总共200次CBCT扫描。男性的平均年龄(±SD)为25.66(±7.11),女性为24.64(±5.12)。ROC曲线显示,与FS和SS的其他线性测量相比,额窦的正确长度在性别鉴定方面显示出最大的准确性。我们的研究结果表明,从逐步判别函数分析获得的方程可以帮助性别确定,准确率为76.5%。
■我们的发现支持FS和SS线性测量的性二态性。当将FS和SS的线性测量结合起来而不是孤立地考虑时,性别预测的准确性有所提高。导出的方程可以是代表性人群性别识别的辅助工具。