An innovative method to predict Nodal (N) status using an Artificial Intelligence approach in the low risk prostate cancer patients (pts): beyond the Roach formula?

Abstract

To present an innovative approach based on the methods of Artificial Intelligence to better predict N status in low risk prostate cancer pts, integrating some important clinical and herapeutic parameters (Gleason Score/sum, age, initial PSA, neoadjuvant or neoadjuvant/concomitant hormonal therapy vs no hormonal therapy), known before radiotherapy (RT)