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Abstract #0244

Graded Functional Diffusion Maps (Fdms) Predict Survival in Recurrent Glioblastoma Treated with Bevacizumab

Benjamin M. Ellingson1, Timothy F. Cloughesy2, Albert Lai2, Phioanh L. Nghiemphu2, Whitney B. Pope1

1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA; 2Neurology, University of California Los Angeles, Los Angeles, CA, USA

There remains a significant need for sensitive biomarkers that predict response to anti-angiogenic treatment for malignant gliomas. We hypothesize that graded functional diffusion maps (fDMs) are a sensitive biomarker for early prediction of bevacizumab failure in recurrent glioblastoma (GBM). Eighty-five patients with recurrent GBMs were retrospectively examined. The volume of fDM-classified hypo- and hypercellular tissue in various categories were tested to determine if they were predictive of survival. Using graded fDMs, patients having a large volume of voxels exhibiting a subtle decrease in ADC had a significantly shorter progression-free and overall survival compared to those having a lower volume.