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Abstract #0975

Quantitative characterization of brain tumor heterogeneity using diffusion basis spectrum imaging with extended isotropic spectrum (DBSI_EIS)

Qing Wang1, Gloria Guzman2, Yong Wang1, Maria R. Ponisio1, Yi Su1, Pamela LaMontagne1, Sheng-Kwei Song1, Keith M. Rich1, Sonika Dahiya1, Jon McConathy3, and Tammie Benzinger1

1Washington University in St. Louis, St. Louis, MO, United States, 2University of Arizona, AZ, United States, 3The university of Alabama at Birmingham, Birmingham, AL, United States

Tumors are typically heterogeneous, and may contain different grades of tumor cells, different types of tumor cells, edema and/or abnormal vascular structures. A noninvasive, non-radioactive technique to provide multiple parametric and quantitative images for better profiling the heterogeneity of tumors is highly needed. We demonstrated that diffusion basis spectrum imaging with extended isotropic spectrum (DBSI-EIS) is capable to identify structural heterogeneity in brain tumor lesions, including various grades of tumor cells and perfusion, which make it a new and unique technique to clinically evaluate tumors for comprehensive diagnosis and accurate treatment evaluation.

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