Predicting postoperative recurrence and survival in glioma patients using enhanced MRI-based delta habitat radiomics: an 8-year retrospective pilot study
Delta habitat radiomics derived from preoperative contrast-enhanced MRI may enhance the accuracy of postoperative recurrence and survival predictions in BG patients. The validated nomograms provide actionable tools for optimizing postoperative surveillance and personalized clinical decision-making.
Authors
- Ping Song (ORCID: https://orcid.org/0000-0002-6078-5749)
- Lina Song (ORCID: https://orcid.org/0009-0008-9987-7617)
- Xianqun Ji
- Peng An (ORCID: https://orcid.org/0009-0007-4915-347X)
- Xiumei Li (ORCID: https://orcid.org/0000-0002-9199-1094)
- Junjie Liu (ORCID: https://orcid.org/0000-0002-0463-521X)
- Haidong Zhang (ORCID: https://orcid.org/0009-0009-8850-6893)
Institutions
- Hubei University of Medicine (CN)
Publication Details
- Journal
- World Journal of Surgical Oncology
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1186/s12957-025-03760-y
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08