Development and Validation of Radiomics-Based Models for Predicting the Parametrial Invasion in Stage IB1 to IIA2 Cervical Cancer
Our ML-based model incorporating GLCM parameters can predict PMI in cervical cancer patients with stage IB1 to IIA2, particularly the RFM, which could contribute to distinguishing PMI before surgery, especially in assisting decision-making on surgical scope.
Authors
- Jiao Ai
- Yao Hu
Institutions
- Yangtze University (CN)
- Jingzhou Central Hospital (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2024-09-01
- DOI
- https://doi.org/10.2147/ijgm.s478842
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21