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-Reference-Cited by-同舟云学术

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

Published:2023-07 Issue: Volume: Page:
ISSN:2405-4569
Container-title:European Urology Focus
language:en
Short-container-title:European Urology Focus

Author:

Sabbagh Ali^ORCID,Tilki Derya,Feng Jean,Huland Hartwig,Graefen Markus,Wiegel Thomas,Böhmer Dirk,Hong Julian C.,Valdes Gilmer,Cowan Janet E.,Cooperberg Matthew,Feng Felix Y.,Mohammad Tarek,Shelan Mohamed,D'Amico Anthony V.,Carroll Peter R.,Mohamad Osama^ORCID

Funder

University of California, San Francisco

Publisher

Elsevier BV

Subject

Urology

Reference32 articles.

1. Salvage therapy for prostate cancer after radical prostatectomy;Zaorsky;Nat Rev Urol,2021

2. Guidelines Detail. NCCN. Accessed March 15, 2022. https://www.nccn.org/guidelines/guidelines-detail.

3. Contemporary update of a multi-institutional predictive nomogram for salvage radiotherapy after radical prostatectomy;Tendulkar;J Clin Oncol,2016

4. Predicting the outcome of salvage radiation therapy for recurrent prostate cancer after radical prostatectomy;Stephenson;J Clin Oncol,2007

5. Development and external validation of a machine learning model for prediction of lymph node metastasis in patients with prostate cancer;Sabbagh;Eur Urol Oncol,2023

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