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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