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Abstract #1227

Modeling Duchenne Muscular Dystrophy Disease Progression: A Longitudinal Multicenter MRI Study

William D. Rooney 1 , Yosef Berlow 1 , Sean C. Forbes 2 , Rebecca J. Willcocks 2 , James Pollaro 1 , William T. Triplett 3 , Dah-Jyuu Wang 4 , Barry J. Byrne 5 , Richard Finkel 6 , Barry S. Russman 7 , Erika L. Finanger 7 , Michael J. Daniels 8 , H. Lee Sweeney 9 , Glenn A. Walter 3 , and Krista H. Vandenborne 2

1 Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, United States, 2 Department of Physical Therapy, University of Florida, Gainesville, Florida, United States, 3 Physiology and Functional Genomics, University of Florida, Gainesville, Florida, United States, 4 Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States, 5 Department of Pediatrics, University of Florida, Gainesville, Florida, United States, 6 Department of Neurology, Nemours Children's Hospital, Orlando, Florida, United States, 7 Shriners Hospital, Portland, Oregon, United States, 8 Division of Statistics & Scientific Computation, University of Texas, Austin, Texas, United States, 9 Department of Pharamcology and Therapeutics, University of Florida, Gainesville, Florida, United States

Duchenne muscular dystrophy (DMD) is a progressive disease of which there is no cure. There is a need for biomarkers that are sensitive to progression, non-invasive, have excellent precision, and are easily transferable between institutions. MRI and MRS can be used to characterize muscle for detection of DMD pathology. The goal here is to identify biomarkers, characterize patterns of muscle involvement, and summarize DMD progression using a modeling approach utilizing MRI and MRS data.

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