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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