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Abstract #1732

Diffusion Histology Imaging Characterizes and Differentiates Various Tumor Histological Features in High-Grade Brain Tumors

Zezhong Ye1, Sam E. Gary2, Jeffrey D. Viox3, Anthony T. Wu4, Joshua Lin5, Peng Sun1, Joshua B. Rubin6, Sonika Dahiya7, and Sheng-Kwei Song1
1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, AL, United States, 3School of Medicine, University of Missouri - Kansas City, Kansas City, MO, United States, 4Biomedical Engineering, Washington University, St. Louis, MO, United States, 5Keck School of Medicine, The University of Southern California, Los Angeles, CA, United States, 6Pediatrics, Washington University School of Medicine, St. Louis, MO, United States, 7Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States

Current clinical diagnosis, surgical resection, and assessment of treatment response for high-grade brain tumor patients relies heavily on gadolinium-enhanced T1-weighted MRI, although such imaging is non-specific for tumor and merely reflects a disrupted blood-brain barrier. The complex tumor microenvironment and spatial heterogeneity make high-grade brain tumor very difficult to characterize using current clinical imaging modalities. We developed a novel imaging strategy to characterize key tumor histological features and demonstrated its capability to accurately predict these histology. Extending this approach to larger cohorts of both tumor specimens and patients could provide further validation and facilitate its clinical translation for patient management.

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