Abstract #0250

How Blood Perfusion Maps are Analyzed Can Greatly Improve the Predictive Potential For Assessing Survival in Patients Treated For Gliomas

Benjamin Lemasson¹, Stefanie Galbn², Christina Tsien², Charles R. Meyer^1,3, Timothy D. Johnson⁴, Thomas Leonard Chenevert¹, Alnawaz Rehemtulla^1,2, Brian Dale Ross¹, Craig J. Galbn¹

¹Radiology, University of Michigan, Ann Arbor, MI, USA; ²Radiation Oncology, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI, USA; ³Biomedical, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI, USA; ⁴Biostatistics, University of Michigan, Ann Arbor, MI, USA

We tested the hypothesis that the method used to analyze the physiological parameter can improve the parameters predictive value. As such we compaired the parametric response (PRM) map to several common methods for assessing response. In addition, we evaluated the impact of the volume of interest (VOI) and the time the mid-treatment rCBV map was acquired on the predictive value of one-year and overall survival in a cohort of glioma patients. Only PRM was predictive of response. In addition, PRM is shown to be robust with negligible sensitivity to the VOI or the time the mid-treatment rCBV map was acquired.