A Machine Learning Model Based on Multi-Phase Contrast-enhanced CT for the Preoperative Prediction of the Muscle-Invasive Status of Bladder Cancer
The machine learning model showed good accuracy in predicting the muscle infiltration status of bladder cancer before surgery.
Authors
- Yang Wang (ORCID: https://orcid.org/0000-0003-4885-4550)
- Caihong Li (ORCID: https://orcid.org/0000-0002-5698-4411)
- Guisheng Wang
- Rongrong Hua (ORCID: https://orcid.org/0000-0001-5102-115X)
- Xucheng He (ORCID: https://orcid.org/0000-0001-7254-6561)
- Yuqing Chen (ORCID: https://orcid.org/0000-0003-3430-4451)
- Ye Ju (ORCID: https://orcid.org/0009-0004-4244-8804)
- Shanshan Zhou (ORCID: https://orcid.org/0000-0002-3121-7822)
- Xiaoxia Chen (ORCID: https://orcid.org/0000-0002-2421-747X)
Institutions
- Beijing University of Chinese Medicine (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-03-19
- DOI
- https://doi.org/10.2174/0115734056377754250304040058
- Citations
- 3
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 6.02