Abstract
Objective Human identification has been performed for many years within forensic dentistry. The aim of this study was to evaluate sexual dimorphism using anthropometric measurements on mandibular images obtained by cone beam computed tomography (CBCT). Material and methods The sample consisted of 159 CT scans collected from a Brazilian population (74 males, 85 females) aged 18–60 years. The CBCT images were analyzed by five reviewers. Six measurements (ramus length, gonion−gnathion length, minimum ramus breadth, gonial angle, bicondylar breadth, and bigonial breadth) were collected for the sexual dimorphism analysis. For the statistical analysis, intraclass correlation was used to evaluate intra- and inter-observers, analysis of variance was used to compare the mean values of these measurements, and binary logistic regression equations were created to determine sex. Results Using these four variables, the rate of correct sex classification was 95.1%. Conclusion The formula developed in this study can be used for sex estimation in forensic settings.
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