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Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).

Astrid Boulenger de HauteclocqueL FerrerDamien AmbrosettiS RicardP BigotK BensalahF HenonN DoumercA MéjeanV VerkarreC DarianeS LarréC ChampyA de La TailleF BruyèreM RouprêtP PaparelStéphane DroupyA FontenilJ J PatardX DurandT WaeckelH LangC LebâcleL GuyG PignotMatthieu DurandJ A LongT CharlesE XylinasR BoissierM YacoubT ColinJ C Bernhard
Published in: BJU international (2023)
Our study shows that machine learning technology can play a useful role in the evaluation and prognosis of upstaged RCC. In the context of incidental upstaging, PN does not compromise oncologic outcomes, even for large tumour sizes.
Keyphrases
  • machine learning
  • renal cell carcinoma
  • artificial intelligence
  • big data
  • deep learning
  • type diabetes
  • metabolic syndrome
  • clinical evaluation