Postoperative nomograms can predict outcomes like biochemical recurrence and prostate cancer-specific mortality with high accuracy (c-index >0.8) based on pathological features from the radical prostatectomy specimen. However, preoperative models aim to predict pathological outcomes like Gleason score in order to determine the need for intensified treatment or active surveillance. Improving preoperative nomograms remains an area of ongoing research.