Presurgical Tumor and Habitat MRI-based Radiomics Features for Predicting Post-Surgical Recurrence of Glioma
Motivation: Accurate preoperative prediction of glioma post-surgery recurrence holds pivotal clinical importance for guiding clinical therapy. Goal(s): Explore the presurgical tumor and habitat MRI-based radiomics features to identify key biomarkers for the surgical recurrence of glioma. Approach: 103 glioma patients who underwent preoperative T1-CE and T2WI MRI were prospectively included. Three habitats were identified and radiomics features were extracted, prediction models for recurrence were constructed, model performance was evaluated. Results: The habitat 2 with a higher volume ratio in recurrence gliomas exhibits a stronger relation to post-surgical recurrence. The combined model of three habitats shows more excellent predictive performance than the whole tumor model. Impact: The presurgical habitat-based radiomics model may facilitate clinicians in deciding whether to undergo the surgical resection of glioma, thus giving a patient-tailored decision.
Authors
- Qi Ouyang (ORCID: https://orcid.org/0000-0003-1585-7368)
- Ping Liu (ORCID: https://orcid.org/0000-0001-6769-3479)
- Guihua Jiang (ORCID: https://orcid.org/0000-0002-8957-0477)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0082
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00