基于上颌窦和下颌管的 CBCT 分析的新的性别预测方法的验证研究。
Validation study of a new method for sexual prediction based on CBCT analysis of maxillary sinus and mandibular canal.
机构信息
Division of Oral Radiology, Piracicaba Dental School, University of Campinas, Department of Oral Diagnosis, Limeira Avenue, 901, PO Box 52, Piracicaba, SP, Brazil.
Division of Pharmacology, Anesthesiology and Therapeutic, Piracicaba Dental School, University of Campinas, Department of Physiological Sciences, Limeira Avenue, 901, PO Box 52, Piracicaba, SP, Brazil.
出版信息
Arch Oral Biol. 2017 Nov;83:118-123. doi: 10.1016/j.archoralbio.2017.07.010. Epub 2017 Jul 21.
OBJECTIVE
The aim of this study was to evaluate the accuracy of two craniometric methods for sexual prediction (SP) using cone-beam computed tomography (CBCT) in the Dutch population and to construct a formula for each method and then the two combined.
DESIGN
One-hundred sixty CBCT images were selected from a Dutch database (80 males and 80 females). The images were analyzed by two examiners taking seven measurements in the maxillary sinus (MS) region (first method) and nine in the mandibular canal (MC) region (second method). The most predictive measurements in both methods were used to develop an equation to determine the accuracy of each method.
RESULTS
All measurements showed statistical difference between genders. Logistic regression results showed two variables with greater SP index with 75% accuracy in the first method and four variables with 71.9% accuracy in the second. The two methods combined showed another four variables with 78.5% accuracy.
CONCLUSION
All measurements showed statistically significant differences between sexes. The SP accuracy values were 75% for first 71.9% for the second method. When the two methods were combined, the accuracy increased to 78.5%. The formulas developed in this study can be applied as a complementary method for human identification in the Dutch population.
目的
本研究旨在评估两种基于锥形束 CT（CBCT）的颅测量学性别预测方法（SP）在荷兰人群中的准确性，并为每种方法构建公式，然后将两种方法结合起来。
设计
从荷兰数据库中选择了 160 例 CBCT 图像（男性 80 例，女性 80 例）。由两名检查者在上颌窦（MS）区进行 7 次测量（第一种方法）和在下颌管（MC）区进行 9 次测量（第二种方法）来分析图像。两种方法中最具预测性的测量值被用于开发一个方程，以确定每种方法的准确性。
结果
所有测量值在性别之间均显示出统计学差异。逻辑回归结果显示，在第一种方法中，有两个变量的 SP 指数为 75%，准确率为 71.9%，在第二种方法中，有四个变量的 SP 指数为 71.9%。两种方法结合后，又有四个变量的准确率为 78.5%。
结论
所有测量值在性别之间均有统计学显著差异。第一种方法的 SP 准确率为 75%，第二种方法的 SP 准确率为 71.9%。当两种方法结合使用时，准确率提高到 78.5%。本研究中开发的公式可作为荷兰人群中人体识别的补充方法。
Zotero 插件