Objectives
This research aimed to test the validity of the probabilistic sex diagnosis (DSP) method in the modern Danish population using 3D models of pelvic bones obtained from post-mortem computerized tomography (CT) scans.

Material and methods
The sample comprised 116 CT scans of the pelvic area (49 males and 67 females). 3D models were generated using Mimics software (Materialise), and the measurements were taken using 3-matic software (Materialise). Sexing rate and accuracy were calculated with ten measurements, eight measurements, the best combination of four measurements, and the worst combination of four measurements, as shown by Murail et al. (2005). Reliability tests were performed to assess the CT scanning protocols and observer agreements.

Results
A sexing rate of 93.9% was achieved using ten measurements, 93.1% using eight measurements, 81.9% using the best combination of four, and 49.7% using the worst combination of four. An accuracy of 100% was obtained in cases where a sex was assigned, except with the worst combination of four. Good levels of reliability were found both among the observers and with different CT scanning protocols.

Conclusion
The DSP is a robust method that can be applied to 3D models obtained from CT scans of the modern Danish population.