Machine Learning Approach to Predict Pt3a Upstaging of Clinically Localized Renal Cell Carcinoma and Oncological Outcomes after Surgery (uroccr 15 Study)

To assess the impact of pathological upstaging from clinically localized to locally advanced pT3a on survival in patients with renal cell carcinoma (RCC), as well as the oncological safety of various surgical approaches in this setting, and to develop a machine‐learning‐based, contemporary, clinically relevant model for individual preoperative prediction of pT3a upstaging.