Abstract #2189

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

Leland S. Hu^1,2, 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.