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Abstract #4446

Estimation of the vascular fraction in brain tumors by VERDICT correlated with Perfusion MRI

Matteo Figini1, Antonella Castellano2, Valentina Pieri2, Samira Bouyagoub3, Andrea Falini2, Daniel C Alexander1, Mara Cercignani3, and Eleftheria Panagiotaki1
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milano, Italy, 3Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom

We used the VERDICT framework to find clinically useful microstructural models to characterize vasculature in brain tumors. We correlated the vascular fractions, estimated by all possible three-compartment models, with perfusion MRI metrics (plasma volume and cerebral blood volume) derived from independent measurements on the same patients. The models with the strongest correlation with the perfusion MRI and clinical data incorporate spherical restriction for the intracellular compartment, isotropic diffusion for the extracellular compartment, and isotropically hindered or restricted pseudo-diffusion for the vascular compartment.

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