This study aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in patients with bladder cancer (BCa). Using a retrospective cohort of 229 BCa patients, the authors determined that the radiomics-clinical nomogram was able to effectively assess BCa recurrence risk, outperforming both the radiomics model and the clinical model.
Key points:
- Radiomics plays a vital role in predicting bladder cancer recurrence.
- Precise prediction of tumor recurrence risk is crucial for clinical management.
- MRI-based radiomics models excel in predicting bladder cancer recurrence.
Article: Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics
Authors: Guoqiang Yang, Jingjing Bai, Min Hao, Lu Zhang, Zhichang Fan & Xiaochun Wang


