Validation study of a new method for sexual prediction based on CBCT analysis of maxillary sinus and mandibular canal

Publication date: November 2017
Source:Archives of Oral Biology, Volume 83
Author(s): Thiago de Oliveira Gamba, Mayra Cristina Yamasaki, Francisco Carlos Groppo, Heraldo Luis Dias da Silveira, Solange Maria de Almeida Boscolo, Gerard C.H. Sanderink, W. Erwin R. Berkhout
ObjectiveThe 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.DesignOne-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.ResultsAll 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.ConclusionAll 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.



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