Predicting contralateral extraprostatic extension in unilateral high-risk prostate cancer: a multicentric external validation study.

Romain DiamandJean-Baptiste RocheVito LaceteraGiuseppe SimoneOlivier WindischDaniel BenamranAlexandre FourcadeGeorges FournierGaelle FiardGuillaume PloussardThierry RoumeguèreAlexandre PeltierSimone Albisinni

Published in: World journal of urology (2024)

Our findings endorse the algorithm's commendable performance, supporting its utility in guiding treatment decisions for unilateral high-risk PCa patients.

Keyphrases

prostate cancer
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
machine learning
radical prostatectomy
deep learning
patient reported outcomes
combination therapy
neural network