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Abstract #3111

Towards Improving Tumor Boundary Identification in Murine Models of Glioma using Cerebral Blood Volume Maps

Kathleen E. Chaffee1, Jeff R. Anderson1, Joshua S. Shimony1, G. Larry Bretthorst1, Joseph J. H. Ackerman1, Joel R. Garbow1

1Radiology, Washington University School of Medicine, St. Louis, MO, United States

Accurate, non-invasive determination of tumor boundaries remains a significant challenge for neurosurgeons, with important implications for patient management. MR contrast enhancement, which reflects the breakdown of the blood brain barrier, often serves as a surrogate marker for actively growing tumor. Here we utilize in vivo LAIF-DSC-derived CBV maps as a marker for delineating tumor margins in murine models of glioma. The LAIF-DSC method permits the calculation of perfusion-based parametric maps without requiring independent measurement of an arterial input function. Tumor margins, estimated by histogram analysis and thresholding of the CBV parametric maps, correlate well with histology.