Development and validation of a machine learning-based risk model for metastatic disease in nmCRPC patients: a tumor marker prognostic study
In this study, we developed and validated a machine learning prognostic model to predict the risk of metastasis in nmCRPC patients. This model can assist in the risk stratification of nmCRPC patients, guide follow-up strategies, and aid in selecting personalized treatment intensities.
Authors
- Xudong Ni (ORCID: https://orcid.org/0009-0005-3131-8964)
- Jing Sui (ORCID: https://orcid.org/0000-0001-8223-9872)
- Xiaomeng Li (ORCID: https://orcid.org/0000-0002-7811-3457)
- Yao Zhu
- Weiwei Ma (ORCID: https://orcid.org/0000-0002-1169-922X)
- Jian Pan
- Ziyun Wang (ORCID: https://orcid.org/0009-0001-4289-4124)
- Dingwei Ye (ORCID: https://orcid.org/0009-0004-1260-7704)
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Shanghai Cancer Institute (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1097/js9.0000000000002321
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08