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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