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Abstract #5255

Non-invasive assessment of glioma microstructure using VERDICT MRI with comparison to histopathology

Fulvio Zaccagna1, Frank Riemer1, Andrew N. Priest2, Kieren S. J. Allinson3, Mary A. McLean4, James T. Grist1, Tomasz Matys1, Jonathan H. Gillard1, Colin Watts5, Stephen J. Price5, Martin J. Graves1, and Ferdia A. Gallagher1

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 3Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 4Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 5Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom

Gliomas are characterized by diffuse infiltration, high heterogeneity and poor prognosis. Imaging tumor heterogeneity may improve diagnosis and therapy planning. The Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumors (VERDICT) MRI technique is a multi-compartmental model that exploits tissue microstructure. This preliminary study demonstrated the feasibility of translating VERDICT MRI in human brain imaging to investigate the microstructure of glioma with an abbreviated protocol. We demonstrated that VERDICT-derived cell size does not differ from the measured size on pathological slides and we found clear trends in LGG and HGG that may be useful to better differentiate types of glioma.

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