Publications by authors named "Dorjan Ivan Rener Sitar"
Invest Radiol
December 2024
Article Synopsis
- This study investigates the potential for improving the diagnostic accuracy of detecting clinically significant prostate cancer (csPCa) on MRI by incorporating clinical parameters like prostate-specific antigen, prostate volume, and age into deep learning models.
- A total of 932 biparametric MRI exams were analyzed, and various AI models were tested, combining MRI-based deep learning results with the clinical parameters through different methods of data fusion.
- The results showed that the best model, which combined deep learning suspicion levels with clinical features, outperformed other models and had performance comparable to radiologist assessments in identifying csPCa.
