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Abstract #0413

Evaluating the use of rCBV as a tumor grade classifier across NCI Quantitative Imaging Network sites: Part II of the DSC-MRI DRO Challenge

Laura C. Bell1, Natenael B. Semmineh1, Leland S. Hu2, Yuxiang Zhou2, Melissa Prah3, Kathleen M. Schmainda3, Jerrold L. Boxerman4, Hongyu An5, Cihat Eldeniz5, Richard Wahl5, Bradley Erickson6, Panagiotis Korfiatis6, Chengyue Wu7, Thomas Yankeelov7, Anna Sorace7, Neal Rutledge7, Thomas Chenevert8, Dariya Malyarenko8, Yichu Liu9, Andrew Brenner9, Yi-Fen Yen10, Jayashree Kalpathy-Cramer10, Andrew Beers10, Mark Muzi11, Ananth J. Madhuranthakam12, Marco Pinho12, Brian Johnson12, and C. Chad Quarles1
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Mayo Clinic, Scottsdale, AZ, United States, 3Medical College of Wisconsin53226, Milwaukee, WI, United States, 4Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, United States, 5Washington University in St. Louis, St. Louis, MO, United States, 6Mayo Clinic, Rochester, MN, United States, 7The University of Texas at Austin, Austin, TX, United States, 8University of Michigan, Ann Arbor, MI, United States, 9University of Texas Health Science Center at San Antonio, San Antonio, TX, United States, 10Massachusetts General Hospital, Boston, MA, United States, 11University of Washington, Seattle, WA, United States, 12The University of Texas Southwestern, Dallas, TX, United States

Using a dynamic susceptibility contrast (DSC) MRI DRO we previously characterized brain tumor relative cerebral blood volume (rCBV) reproducibility across 12 sites employing a range of imaging protocols and software platforms. Our goal in this study is to determine the impact of rCBV reproducibility for tumor grade classification. We found that varying software platforms produced a range of optimal thresholds, but the performance of these thresholds were similar. These results indicate that different software platforms are able to classify tumor grades, but the site-specific thresholds underscore the importance of standardizing acquisition and analysis protocols across sites and software benchmarking.

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