Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and OncologyHumansMaleProstatic NeoplasmsPositron Emission Tomography Computed TomographyArtificial Intelligence
Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [18F]DCFPyL PSMA imaging.
Linmei Zhao, Maliha R Imami, Yuli Wang, Yitao Mao, Wen-Chi Hsu, Ruohua Chen, Esther Mena, Yang Li, Jingyi Tang, Jing Wu, Andrew F Voter, Alireza Amindarolzarbi, Daniel Kargilis, Shadi Afyouni, Andrei Gafita
Published: 202610.1016/j.radonc.2025.111265
Abstract
BACKGROUND AND PURPOSE: Prostate cancer remains a significant clinical challenge, particularly in characterizing lesions and predicting patient outcomes. With the growing availability of advanced imaging techniques like [18F]DCFPyL PET/CT, there is a…
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