04Feb 2023
Machine‐learning approach for prediction of pT3a upstaging and outcomes of localized renal cell carcinoma (UroCCR‐15)

Machine‐learning approach for prediction of pT3a upstaging and outcomes of localized renal cell carcinoma (UroCCR‐15)

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. The study shows that machine-learning technology can be useful in evaluating and prognosis of upstaged RCC. Furthermore, in the context of incidental upstaging, PN does not compromise oncological outcomes, even for large tumor sizes.

  • #urology

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