Abstract #3292

Neurite orientation dispersion and density imaging predicts disability at 8 years follow-up in relapsing remitting MS patient

Elda Fischi-Gomez^1,2, Guillaume Bonnier³, Po-Jui Li^4,5, Pietro Maggi⁶, Geraldine Le Goff⁶, Ludwig Kappos⁴, and Cristina Granziera^4,5

¹Signal Processing Laboratory 5, EPFL, Lausanne, Switzerland, ²AA Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA, United States, ³CSEM – Centre Suisse d’Electronique et Microtechnique, Neuchatel, Switzerland, ⁴Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, ⁵Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, ⁶Departement of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Neurite orientation dispersion and density imaging (NODDI) is a diffusion imaging technique that uses diffusion gradients of different strengths to provide novel metrics of axonal and dendrites integrity. In this study, we explored the value of NODDI metrics - in lesions and normal appearing tissue - to predict the long term disability in relapsing-remitting MS (RRMS) patients. NODDI metrics in NAWM and lesions showed significant correlations with patients disability at 8 years follow-up. Future studies should explore the predictive value of NODDI metrics in MS lesions and in larger cohorts of MS patients.

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