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Abstract #0855

Noninvasive Assessment of Tumor Histopathology in Glioblastoma Specimen and Patient

Zezhong Ye1, Joshua Lin1, Richard Price2, Peng Sun1, Sam E. Gary3, Jeffrey D. Viox4, Chunyu Song1, Ajit George1, Jie Zhan5, Ruimeng Yang6, Sonika Dahiya7, Albert H. Kim2, and Sheng-Kwei Song1

1Radiology, Washington University School of Medicine, Saint Louis, MO, United States, 2Neurological Surgery, Washington University School of Medicine, Saint Louis, MO, United States, 3Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, AL, United States, 4Medicine, University of Missouri – Kansas City, Kansas City, MO, United States, 5Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China, 6Radiology, Guangzhou First People’s Hospital, Guangzhou, China, 7Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, United States

Glioblastoma (GBM) is the most frequent malignant brain tumor in adults, accounting for approximately 45-50% of all primary malignant brain tumors. To circumvent the shortcomings of current clinical MRI techniques, we applied modified diffusion basis spectrum imaging (DBSI) to accurately detect pathology in GBM. In this study, we demonstrate modified-DBSI efficacy in detecting different histopathological structures in ex vivo and in vivo scans of glioblastoma.

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