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Abstract #1237

Multiparametric MRI Distinguishes Cerebral Radiation Necrosis vs. Recurrent Glioma in Mouse Models

Xia Ge1, John A Engelbach1, Liya Yuan2, Sonika Dahiya3, Feng Gao4, Keith M Rich2, Joseph JH Ackerman1,5,6,7, and Joel R Garbow1,5
1Radiology, Washington University in St Louis, St Louis, MO, United States, 2Neurosurgery, Washington University in St Louis, St Louis, MO, United States, 3Neuropathology, Washington University in St Louis, St Louis, MO, United States, 4Surgery, Washington University in St Louis, St Louis, MO, United States, 5Alvin J Siteman Cancer Center, Washington University in St Louis, St Louis, MO, United States, 6Internal Medicine, Washington University in St Louis, St Louis, MO, United States, 7Chemistry Department, Washington University in St Louis, St Louis, MO, United States

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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