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Accepted for/Published in: JMIR Cancer

Date Submitted: May 8, 2024
Date Accepted: Aug 7, 2024

The final, peer-reviewed published version of this preprint can be found here:

A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET–Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study

Janbain A, Farolfi A, Guenegou-Arnoux A, Romengas L, Scharl S, Fanti S, Serani F, Peeken JC, Katsahian S, Strouthos I, Ferentinos K, Koerber SA, Vogel MEV, Combs SE, Vrachimis A, Morganti AG, Spohn SKB, Grosu AL, Ceci F, Henkenberens C, Kroeze SGC, Guckenberger M, Belka C, Bartenstein P, Hruby G, Emmett L, Omerieh AA, Schmidt-Hegemann NS, Mose L, Aebersold DM, Zamboglou C, Wiegel T, Shelan M

A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET–Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study

JMIR Cancer 2024;10:e60323

DOI: 10.2196/60323

PMID: 39303279

PMCID: 11452751

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.