Abstract #3674

Quantitative MRI Metrics in Routine Clinical Practice: A Validation Study from a Large Heterogeneous Cohort of Multiple Sclerosis Patients

Adrian Tsang¹, Mário J Fartaria^2,3,4, Rodrigo D Perea¹, Ricardo Corredor-Jerez^2,3,4, Shirley Liao¹, Tammie L.S. Benzinger⁵, Maria Laura Belfari¹, Peter A Calabresi⁶, Carrie M Hersh⁷, Till Huelnhagen^2,3,4, Stephen E Jones⁸, Hagen H Kitzler⁹, Nicholas Levitt¹, Yvonne W Lui¹⁰, Sara J Makaretz¹, Robert Naismith⁵, Kunio Nakamura⁸, Dan Ontaneda⁸, Stephen Rao⁸, Alex Rovira¹¹, Madalina E Tivarus¹², James R Williams¹, Richard A Rudick¹, Tobias Kober^2,3,4, and Elizabeth Fisher¹

¹Biogen, Cambridge, MA, United States, ²Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, ³Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, ⁴LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, ⁵Washington University in St. Louis, St. Louis, MO, United States, ⁶Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁷Cleveland Clinic Lou Ruvo Center for Brain Health, Cleveland, OH, United States, ⁸Cleveland Clinic, Cleveland, OH, United States, ⁹Center of Clinical Neuroscience, 'Carl Gustav Carus' University Hospital, Technische Universitaet, Dresden, Germany, ¹⁰New York University, New York, NY, United States, ¹¹Vall d’Hebron University Hospital, Barcelona, Spain, ¹²University of Rochester Medical Center, Rochester, NY, United States

Use of MRI metrics for routine monitoring of MS patients has been hindered by lack of standardization, imprecise measurements, and workflow hurdles. To overcome these challenges, we developed a novel prototype, MSPie, as part of the MS PATHS initiative. The goal of this study was to assess the validity and suitability of MRI metrics automatically computed by MSPie in the MS clinical workflow.

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