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Abstract #0261

Multi-Site Concordance of DSC-MRI Analysis for Brain Tumors:  Results of a NCI Quantitative Imaging Network DSC-MRI Collaborative Project

Kathleen M Schmainda1, Melissa A Prah1, Scott D Rand2, Mark Muzi3, Swati D Rane3, Xiao Da4, Yi-Fen Yen5, Jayashree Kalpathy-Cramer5, Thomas L Chenevert6, Dariya Malyarenko6, Benjamin Hoff6, Brian Ross6, Yue Cao7, Madhava P Aryal7, Bradley Erickson8, Panagiotis Korfiatis8, Laura Bell9, Leland Hu10, and Christopher Chad Quarles9

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, WI, United States, 3Radiology, University of Washington, WA, United States, 4Radiology, Massachusetts General Hospital, MA, United States, 5Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 6Radiology, University of Michigan, Ann Arbor, MI, United States, 7Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 8Mayo Clinic, MN, United States, 9Barrow Neurological Institute, Phoenix, AZ, United States, 10Radiology, Mayo Clinic, Phoenix, AZ, United States

Though DSC-MRI perfusion is of well-known benefit for the evaluation of brain tumors, clinical translation has been hampered by a lack of confidence in the consistency of the derived RCBV (relative cerebral blood volume) and cerebral blood flow (CBF) values across sites and platforms. This multi-site and multi-platform study, for which the same patient data set was analyzed, demonstrated substantial consistency in RCBV across software sites and platforms and the ability of each to distinguish low-grade from high-grade tumor. In addition, a single RCBV threshold was identified for which all platforms maintained good accuracy.

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