Abstract #0129

Evaluation of FLAIR maps by PRM provides for glioma response assessment

Deborah Sharon Honrado Guest¹, Craig Galbán¹, Gary Luker¹, Thomas Chenevert¹, Benjamin Lemasson², Robin Johannes Marius Navest³, Klaas Nicolaij³, and Brian Ross¹

¹Radiology, University of Michigan, Ann Arbor, MI, United States, ²Institut des Neurosciences, Université Grenoble Alpes, Grenoble, France, ³Department of Biomedical Engineering, Technische Universiteit Eindhoven, EINDHOVEN, Netherlands

This study investigates the possibility of adapting the PRM method for use with normalized FLAIR images to predict OS and TTP for indication of tumor recurrence. Glioma patients were separated into non-responders and responders to treatment. Voxels present in the union of the VOIs for the rFLAIR images were used to evaluate the PRM_rFLAIR values and categorize patients into groups based on changes in signal intensity. This study shows that predicting TTP and OS is achievable using PRM with rFLAIR maps for patients treated with TMZ/IR and provides the first demonstration of quantifying FLAIR signals in patients over time.

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