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Abstract #2189

Image-Guided Tissue Validation of Combined Preload Dosing and Mathematical Modeling Correction of Perfusion MRI Measures

Leland S. Hu1,2, Leslie C. Baxter3, Dilini S. Pinnaduwage4, Todd Jensen5, Amylou C. Dueck6, Jennifer M. Eschbacher7, Joseph E. Heiserman2, John P. Karis2, Josef Debbins3, Jonathan Placencia Placencia8, Seban Liu3, Burt G. Feuerstein9, Kathleen M. Schmainda10

1Radiology, Mayo Clinic, Arizona, Scottsdale, AZ, United States; 2Radiology, Neuroradiology Section, St. Joseph's Hospital - Barrow Neurological Institute, Phoenix, AZ, United States; 3Keller Center for Imaging Innovation, St. Joseph's Hospital - Barrow Neurological Institute, Phoenix, AZ, United States; 4Radiation Oncology, University of California - San Francisco, San Francisco, CA, United States; 5Imaging Biometrics, LLC; 6Biostatistics, Mayo Clinic, Arizona, Scottsdale, AZ, United States; 7Neuropathology, St. Joseph's Hospital - Barrow Neurological Institute, Phoenix, AZ, United States; 8Biomedical Engineering, Arizona State University, Tempe, AZ, United States; 9Neuro-Oncology, St. Joseph's Hospital - Barrow Neurological Institute, Phoenix, AZ, United States; 10Radiology, Medical College of Wisconsin, Milwaukee, WI, United States


We validate mathematical modeling correction of relative cerebral blood volume (rCBV) in regards to effectiveness of 1) minimizing T1W leakage and 2) correcting T2/T2*W residual effects, by correlating localized measures with image-guided tissue histopathology and microvascular density from stereotactic biopsies in post-treatment high-grade gliomas.