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Multi-institutional Development and External Validation of a Machine Learning Model for the Prediction of Distant Metastasis in Patients Treated by Salvage Radiotherapy for Biochemical Failure After Radical Prostatectomy
CONCLUSIONS: The updated model can be used to provide more individualized risk assessments to patients treated with SRT at low PSA values, improving decision-making.PATIENT SUMMARY: Up to 40% of patients with prostate cancer may develop biochemical recurrence after surgery, with salvage radiation therapy as the only potentially curative option. We trained and validated a machine learning model using clinical and surgical data to predict a patient's risk of distant metastasis at 5 yr after treatment. Our model outperformed the reference tool and can improve clinical decision-making by providing more personalized risk assess...
Source: Clinical Prostate Cancer - July 28, 2023 Category: Cancer & Oncology Authors: Ali Sabbagh Derya Tilki Jean Feng Hartwig Huland Markus Graefen Thomas Wiegel Dirk B öhmer Julian C Hong Gilmer Valdes Janet E Cowan Matthew Cooperberg Felix Y Feng Tarek Mohammad Mohamed Shelan Anthony V D'Amico Peter R Carroll Osama Mohamad Source Type: research

What is the best time for postoperative radiation therapy in pN1 prostate cancer?
Neoplasma. 2023 Jun;70(3):458-467. doi: 10.4149/neo_2023_230403N182.ABSTRACTWe retrospectively compared long-term biochemical recurrence rates (BCR) in pN1 PCa patients that underwent adjuvant radiotherapy (aRT) vs. no aRT/early salvage (esRT) after robot-assisted radical prostatectomy and extended pelvic lymphadenectomy. All PCa pN1 M0 patients treated at a single high-volume center between 2010 and 2020 were analyzed. Patients with <10 LNs yield, or >10 positive LNs, or persistently detectable PSA after RARP were excluded. Kaplan-Meier (KM) plots depicted BCR rates. Multivariable Cox regression models (MCRMs) focus...
Source: Neoplasma - July 27, 2023 Category: Cancer & Oncology Authors: Francesco Alessandro Mistretta Stefano Luzzago Giulia Marvaso Giulia Corrao Ilaria Sabatini Matteo Fontana Federico Mastroleo Mattia Zaffaroni Maria Giulia Vincini Ettore Di Trapani Gabriele Cozzi Roberto Bianchi Matteo Ferro Ottavio de Cobelli Barbara Al Source Type: research

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