Deep learning based on 68Ga-PSMA-11 PET/CT for predicting pathological upgrading in patients with prostate cancer

Deep learning based on 68Ga-PSMA-11 PET/CT for predicting pathological upgrading in patients with prostate cancer

ObjectivesTo explore the feasibility and importance of deep learning (DL) based on 68Ga-prostate-specific membrane antigen (PSMA)-11 PET/CT in predicting pathological upgrading from biopsy to radical prostatectomy (RP) in patients with prostate cancer (PCa).MethodsIn this retrospective study, all pa...

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Bibliographic Details
Main Authors: Shiming Zang, Cuiping Jiang, Lele Zhang, Jingjing Fu, Qingle Meng, Wenyu Wu, Guoqiang Shao, Hongbin Sun, Ruipeng Jia, Feng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Oncology
Subjects:
68Ga-PSMA
pathological upgrading
prostate cancer
deep learning
PET/CT
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1273414/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1273414/full

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