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Abstract #1753

Evaluation of a Multiparamteric QBOLD Approach in Patients with Brain Tumors

Julien Bouvier1, 2, Nicolas Coquery1, Sylvie Grand1, 3, Irne Troprs4, David Chechin2, Jean-Franois Le Bas3, 4, Olivier Franois5, Alexandre Krainik1, 3, Emmanuel Luc Barbier1

1INSERM U836, Grenoble Institute of Neurosciences, Grenoble, France; 2Philips Healthcare, Suresnes, France; 3CHU de Grenoble, Clinique Universitaire de Neuroradiologie et dIRM, Grenoble, France; 4Plate-forme IRMaGe, UJF INSERM US17 CNRS UMS 3552, Grenoble, France; 5UMR 5525, TIMC-IMAG, Grenoble, France

In clinical monitoring of brain tumors, Perfusion Weigthed Imaging (PWI) contributes to tumor grading and to assess the response to treatment, as early as possible. Beyond tumor perfusion, tumor hypoxia has been shown to determine the reponse of various therapeutic approaches including radiotherapy. The aim of this study is to evaluate in patients how tissular oxygen saturation (StO2), assessed with a multiparametric qBOLD approach, could contribute to characterize brain tumors using a model-based cluster approach.