Periprostatic fat magnetic resonance imaging based radiomics nomogram for predicting biochemical recurrence-free survival in patients with non-metastatic prostate cancer after radical prostatectomy
This study developed and validated the radiomics-clinical nomogram for the prediction of bRFS in non-metastatic PCa patients underwent RP.
Authors
- Yong Wei (ORCID: https://orcid.org/0000-0002-9290-2372)
- Shao‐Hao Chen (ORCID: https://orcid.org/0000-0002-7243-4428)
- Xiaohui Wu (ORCID: https://orcid.org/0000-0002-2801-9163)
- Xue‐Yi Xue (ORCID: https://orcid.org/0000-0002-6461-7435)
- Zhi‐Bin Ke (ORCID: https://orcid.org/0000-0002-7563-7781)
- Qing‐Shui Zheng (ORCID: https://orcid.org/0000-0002-7426-6501)
- Dong‐Ning Chen (ORCID: https://orcid.org/0000-0002-3991-6564)
- Ning Xu (ORCID: https://orcid.org/0000-0001-7909-7025)
- Yu‐Ting Xue
- Ze-Jia Chen
- Wenqi Liu
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1186/s12885-024-13207-4
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- Natural Science Foundation of Fujian Province