Deep learning-based radiomics model from pretreatment ADC to predict biochemical recurrence in advanced prostate cancer

Deep learning-based radiomics model from pretreatment ADC to predict biochemical recurrence in advanced prostate cancer

PurposeTo develop deep-learning radiomics model for predicting biochemical recurrence (BCR) of advanced prostate cancer (PCa) based on pretreatment apparent diffusion coefficient (ADC) maps.MethodsData were collected retrospectively from 131 patients diagnosed with advanced PCa, randomly divided int...

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Bibliographic Details
Main Authors: Huihui Wang, Kexin Wang, Yaofeng Zhang, Yuke Chen, Xiaodong Zhang, Xiaoying Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
biochemical recurrence
apparent diffusion coefficient
radiomics
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1342104/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1342104/full

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