Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study

Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study

Biochemical recurrence (BCR) occurs in up to 27% of patients after radical prostatectomy (RP) and often compromises oncologic survival. To determine whether imaging signatures on clinical prostate magnetic resonance imaging (MRI) could noninvasively characterize biochemical recurrence and optimize t...

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Bibliographic Details
Main Authors: Ye Yan, Lizhi Shao, Zhenyu Liu, Wei He, Guanyu Yang, Jiangang Liu, Haizhui Xia, Yuting Zhang, Huiying Chen, Cheng Liu, Min Lu, Lulin Ma, Kai Sun, Xuezhi Zhou, Xiongjun Ye, Lei Wang, Jie Tian, Jian Lu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
prostate cancer
biochemical recurrence
survival prediction
deep learning
MRI
Online Access:https://www.mdpi.com/2072-6694/13/12/3098

Internet

https://www.mdpi.com/2072-6694/13/12/3098

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