A multicentre implementation trial of an Artificial Intelligence-driven biomarker to inform Shared decisions for androgen deprivation therapy in men undergoing prostate radiotherapy: the ASTuTE protocol

A multicentre implementation trial of an Artificial Intelligence-driven biomarker to inform Shared decisions for androgen deprivation therapy in men undergoing prostate radiotherapy: the ASTuTE protocol

Abstract Background Androgen deprivation therapy (ADT) improves outcomes in men undergoing definitive radiotherapy for prostate cancer but carries significant toxicities. Clinical parameters alone are insufficient to accurately identify patients who will derive the most benefit, highlighting the nee...

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Bibliographic Details
Main Authors: Eric Wegener, Michael Ng, Mario Guerrieri, Timothy N. Showalter, Jeremy de Leon, Sagar Ramani, Marcus Dreosti, Tee Lim, Bradley Wong, Michael Chao, Kathryn Hogan, Avi Raman, Scott McClintock, Darren Foreman, Matthew Brown, Stephen McCombie, Kevin McMillan, Kieran Beattie, Mark Frydenberg, Lih-Ming Wong, Dickon Hayne, John Yaxley, Phillip Stricker, Jarad Martin
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Cancer
Subjects:
(MeSH): prostate cancer
Radiotherapy
Artificial Intelligence
Deep learning
Digital pathology
Biomarkers
Online Access:https://doi.org/10.1186/s12885-025-13622-1
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