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Abstract #2778

MR prediction of Tumor Burden in Patient-Derived Mouse Xenografts Model of Glioblastoma using an Adaptive Model

Hassan Bagher-Ebadian1,2, Ana deCarvalho1, Tavarekere Nagaraja1, Azimeh NV Dehkordi3, Susan Irtenkauf1, Swayamparva Panda1, Robert Knight1, and James R Ewing1,2

1Henry Ford Hospital, Detroit, MI, United States, 2Oakland University, Rochester, MI, United States, 3Shahid Beheshti University, Tehran, Iran

In human glioblastoma multiforme (GBM), infiltrating cells are found in remote locations, even in the hemisphere contralateral to the primary lesion. Although MRI allows approximation of the extent of tumor cell infiltration, the actual extent of infiltration may be greater or less than the edema, and there is no standard MRI practice that can be used to assess the infiltrating tumor burden. This pilot study investigates the feasibility of using a set of MR modalities for the development of an MRI estimate of infiltrating tumor burden in Patient-Derived Mouse Xenografts model of GBM using an adaptive model.

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