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Abstract #0081

Multiparametric Microvascular MRI: A Cluster Approach to Characterize Glioma

Nicolas Coquery1, 2, Clment S. Debacker3, 4, Rgine Farion, 25, Chantal Rmy1, 2, Olivier Francois6, 7, Emmanuel Luc Barbier, 28

1U836, INSERM, Grenoble, France; 2Universit Joseph Fourier, grenoble, France; 3Universit Joseph Fourier, Grenoble, France; 4Bruker Biospin MRI, Ettlingen, Germany; 5Grenoble MRI Facility IRMaGe, Grenoble, France; 6TIMC-IMAG laboratory, UMR5525, CNRS, La Tronche, France; 7Universit Joseph Fourier, La Tronche, France; 8INSERM U836, Grenoble, France

Multiple parameters of tumor microvasculature can be assessed with MRI. The accumulation of physiologically linked information might not be readily interpretable. To address this concern, we propose a cluster-based approach to highlight independent microvasular features within tumor. This strategy could distinguish two glioma models based on their cluster composition. This approach might be useful for solid tumor diagnosis as well as for the localization of pathological areas within the tumor that might become resistant to treatment.