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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