Sex estimation from morphometric measurements of os coxae in computed tomography images and validity and accuracy of “diagnose sexuelle probabiliste V2” software for the Turkish population

OBJECTIVE: This study aimed to analyze the reliability, applicability, and accuracy of the “Diagnose Sexuelle Probabiliste V2” software used for sex estimation on pelvic CT images of the Turkish population. METHODS: Pelvic CT images of 200 individuals (100 male, 100 female) were used. Slicer 5.8.0 software was used to create a three-dimensional representation of the bone and perform the measurements. 10 morphometric measurements were made on the os coxae to estimate the sex of the individuals on the images. RESULTS: Of the 10 variables used in DSP2, the difference between the sexes was significant for all variables except SA (p < 0.001). When the posterior probability threshold was set at 0.95 or higher, the sex of only 3 individuals could not be estimated using the 10 variables in DSP2. The sexing success rate was 98.5%. The accuracy rate was 100%. CONCLUSION: DSP2 is a highly reliable method for sex estimation from pelvic CT images for the Turkish population.