Synopsis
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563-06-007
ISMRM Abstract
Magnetic resonance imaging-based habitat, intra-, and peritumoral radiomic model for preoperative prediction of IDH Mutation
Accepted
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1. 1. Price, M. et al. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2017–2021. Neuro-Oncology 26, vi1–vi85 (2024).
2. Glioma. Nat Rev Dis Primers 10, 34 (2024).
3. Zheng, W.-Y. et al. MRI-based habitat radiomics for preoperatively predicting IDH status in gliomas. Neurosurgical Focus 59, E4 (2025).
4. Li, G. et al. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas. Brain 145, 1151–1161 (2022).
5. Liu, P. et al. Multiparametric simultaneous hybrid 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) incorporating intratumoral and peritumoral regions for grading of glioma. Quant Imaging Med Surg 14, 5665–5681 (2024).
6. Silva, M., Vivancos, C. & Duffau, H. The Concept of «Peritumoral Zone» in Diffuse Low-Grade Gliomas: Oncological and Functional Implications for a Connectome-Guided Therapeutic Attitude. Brain Sciences 12, 504 (2022).
7. Zhu, Y. et al. Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study. Academic Radiology 32, 963–975 (2025)
Cite this abstract
http://echo.ismrm.org/p/ISMRM2026/563-06-007