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
investigates the possibility of adapting the PRM method for use with normalized
FLAIR images to predict OS and TTP for indication of tumor recurrence.
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 PRMrFLAIR 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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