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mpMRI Radiomic Features Predict the Likelihood for Progression to Treatment of Prostate Cancer Patients on Active Surveillance

Author:Veronica Wallaengen Evangelia Zacharaki Mohammad Alhusseini Nachiketh Soodana-Prakash Ahmad Algohary Adrian Breto Isaac Xu Sandra Gaston Rosa Castillo Acosta Oleksandr Kryvenko Bruno Nahar Dipen Parekh Alan Pollack Sanoj Punnen

Session Type:Digital Poster

Session Date:Monday, 05 June 2023

Session Name:More Advances in Prostate Imaging

Program Number:2068

Room Session:Exhibition Halls D/E

Institution :University of Miami Miller School of Medicine

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