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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