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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 Fartaria2,3,4, Rodrigo D Perea1, Ricardo Corredor-Jerez2,3,4, Shirley Liao1, Tammie L.S. Benzinger5, Maria Laura Belfari1, Peter A Calabresi6, Carrie M Hersh7, Till Huelnhagen2,3,4, 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 Kober2,3,4, 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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