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Abstract #1368

Non-Gaussian measurements of water diffusion in glioma as a tool for probing tumor heterogeneity and grade.

Fulvio Zaccagna1, Frank Riemer1, Mary McLean2, Andrew N. Priest3, James T. Grist1, Joshua Kaggie1, Sarah Hilborne1, Tomasz Matys1, Martin J. Graves1, Jonathan H. Gillard1, Stephen J. Price4, and Ferdia A. Gallagher1

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 3Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 4Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom

Glioma grade and extent of local infiltration are used to guide surgical tumor management. Heterogeneity imaging is a way of assessing the tumor microenvironment, which may improve diagnosis and therapy planning. Diffusion Kurtosis Imaging (DKI) is a novel promising technique that estimates non-Gaussian water diffusion as a measure of heterogeneity. We investigate the use of DKI in glioma as a tool to improve tumor grading and to estimate infiltration. Our preliminary results show a mean kurtosis of 0.56±0.02 in glioblastoma and 1.14±0.07 in normal-appearing white matter. DKI may thus represent a useful tool for estimation of tumor heterogeneity in glioma.

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