A feasibility study on predicting disease progression in high-grade gliomas using magnetic resonance imaging habitat radiomics based on response assessment in neuro-oncology (RANO) criteria
The habitat model demonstrated outstanding predictive performance for forecasting the progression risk of patients with high-grade gliomas.
Authors
- Jinyan Luo
- Yuchen Zhu (ORCID: https://orcid.org/0000-0001-5148-8569)
- Lei Qiu (ORCID: https://orcid.org/0000-0002-0202-4618)
- Yuandong Cao (ORCID: https://orcid.org/0000-0002-9905-7941)
- W. Xu (ORCID: https://orcid.org/0000-0002-6690-2651)
- Yurong Li
- Mengxing Wu
- Ke Shi (ORCID: https://orcid.org/0000-0002-4814-1414)
- Gefei Jiang
- Xuelin Sun (ORCID: https://orcid.org/0000-0002-5483-2887)
- Yinjiao Fei
- Jinling Yuan
- Shu Zhou
Institutions
- Jiangsu Province Hospital (CN)
- Zhejiang University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1177/20552076251412634
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00