Keywords: Tumors (Pre-Treatment), Neuro, Glioma, IDH, EGFR
Motivation: Imaging-based molecular prediction is crucial for identifying potential therapeutic targets in adult-type diffuse gliomas.
Goal(s): To assess spatial and temporal heterogeneity using diffusion and perfusion MRI and to evaluate isocitrate dehydrogenase (IDH) mutation and epidermal growth factor receptor (EGFR) amplification status in primary and recurrent adult-type diffuse gliomas.
Approach: Histogram features and temporally stable imaging features were identified. Models were constructed for IDH and EGFR prediction in cross-sectional and longitudinal sets.
Results: The models achieved high performance for predicting IDH mutations, but they exhibited poor predictability in EGFR amplification, especially in recurrent tumors.
Impact: This study enables reliable, non-invasive prediction of IDH mutation in gliomas using multiparametric MRI, informing personalized treatment. Caution is advised for EGFR prediction due to its spatial and temporal variability.
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