Abstract #2778

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

Hassan Bagher-Ebadian^1,2, Ana deCarvalho¹, Tavarekere Nagaraja¹, Azimeh NV Dehkordi³, Susan Irtenkauf¹, Swayamparva Panda¹, Robert Knight¹, and James R Ewing^1,2

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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