Multimodal radiomics based on fluorine-18 prostate-specific membrane antigen positron emission tomography and multiparametric magnetic resonance imaging in predicting persistent prostate-specific antigen after radical prostatectomy
The combined radiomics-clinical model was the best-performing model and outperformed both clinical and radiomics models in predicting persistent PSA, indicating that clinical variables can complement PSMA-PET and mpMRI radiomics for early risk stratification following RP.
Authors
- Fei Yao (ORCID: https://orcid.org/0000-0002-4577-3264)
- Yuandi Zhuang (ORCID: https://orcid.org/0000-0002-7365-2531)
- Yingnan Xue
- Shuying Bian
- Weifeng Hong (ORCID: https://orcid.org/0000-0001-6640-2537)
- Yunjun Yang (ORCID: https://orcid.org/0000-0003-2080-2417)
- Zhifang Pan (ORCID: https://orcid.org/0000-0002-3683-6657)
- Kehua Pan (ORCID: https://orcid.org/0009-0009-6040-9063)
- Qi Lin (ORCID: https://orcid.org/0000-0001-5154-1366)
- Yayun Zhang (ORCID: https://orcid.org/0000-0003-0502-1495)
- Heng Lin
- Yaping Yuan (ORCID: https://orcid.org/0009-0004-8737-1396)
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Yuxian People's Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-2162
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72