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Abstract #0283

A Composite Model of the Parametric Response Map Predicts Survival Independent of Radiographic Response in Patients with High Grade Glioma

Craig J. Galban1, Thomas L. Chenevert1, Daniel A. Hamstra2, Charles R. Meyer1, Pia Sundgren1, Christina Tsien2, Theodore S. Lawrence2, Alnawaz Rehemtulla2, Timothy D. Johnson3, Brian D. Ross1

1Radiology, University of Michigan, Ann Arbor, MI, USA; 2Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; 3Biostatistics, University of Michigan, Ann Arbor, MI, USA

A parametric response map composite model of the apparent diffusion coefficient (PRMADC) and relative cerebral blood flow (PRMrCBF) is predictive of treatment response in glioma patients independent of radiographic response (RR). Perfusion and diffusion MRI were performed on 44 patients pre and post-treatment. Survival analysis was employed on the population by stratifying based on RR, PRMADC, PRMrCBF and a composite of PRMADC and PRMrCBF (PRMADC-rCBF). Individually, PRM was closely associated to 10 week RR. A multivariate analysis showed a stronger dependence on PRM, most notably PRMADC-rCBF, than RR. This study provides a more accurate treatment response metric for cancer patients.