Journal of the Canadian Society of Forensic Science, 2025 (ESCI)
‘Identification’, where age and sex estimation are two main components, is one of the important issues of forensic medicine. In particular, sex estimation from skeletal remains and age estimation of unidentified people are frequently encountered. This study aimed to estimate age and sex with radiological imaging of the skull by evaluating cranial CT (computed tomography) images, cranial metric measurements frequently used in the literature, and paranasal sinus measurements. Using cranial CT images of 803 cases, 404 of whom were male (50.3%) and 399 of whom were female (49.7%), between the ages of 10–65, analyzed with PLS (partial least squares) regression model for age estimation, different models were created for sex estimation and statistical results were discussed with the literature. While only cranial metric measurements were able to correctly predict sex at a rate of 77% and only paranasal metric measurements at a rate of 70%, this rate increased to 79% when all measurements were used together. For age estimation, formulas were developed with the four parameters that we found to have the most statistically significant discriminatory power (nasal width, nasal height, right maxillary sinus width and left maxillary sinus depth).