DWI-based Biologically Interpretable Radiomic Nomogram for Predicting 1-year Biochemical Recurrence after Radical Prostatectomy: A Deep Learning, Multicenter Study
Our study demonstrated the feasibility of a DWI-based clinical-radiomic nomogram combined with deep learning for the prediction of 1-year BCR. The findings revealed that the radiomic score was associated with a distinctive tumor microenvironment.
Authors
- Guohui Xu
- Xiang-Ke Niu (ORCID: https://orcid.org/0000-0002-7025-7587)
- Lei Wang (ORCID: https://orcid.org/0000-0002-0664-2704)
- Yongjie Li (ORCID: https://orcid.org/0000-0002-7395-3131)
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan Cancer Hospital (CN)
- Maternal and Child Health Hospital of Sichuan Province (CN)
- Chengdu University (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-06-13
- DOI
- https://doi.org/10.2174/0115734056403104250527045320
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08