Malignant brain tumor patients treated with radiation are at risk of developing subsequent treatment effects, including radiation necrosis (RN), which cannot be differentiated from recurrent tumor. We have developed mouse models of RN and of admixed tumor growing in previously irradiated brain (“mixed lesion”) that recapitulate the major histologic characteristics of human RN and recurrent glioma, respectively. These models provide a platform for the development of imaging biomarkers capable of differentiating RN vs. tumor. We demonstrate a multiparametric, clinically translatable 1H MRI pipeline (R1, R1-post-contrast, R2, ADC, MTR, and DCEAUC) that shows significant promise for differentiating RN vs. recurrent tumor.
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