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Abstract #4069

Predicting visual function clinical outcome in MS: a MRI and OCT metrics study.

Eduardo Caverzasi1,2, Christian Cordano1,3, Alyssa Zhu4, Antje Bischof1,5, Gina Kirkish1, Nico Papinutto1, Michael Devereux1, Nicholas Baker1, Sam Arnow1, Justin Inman1, Hao Yiu1, Carolyn Bevan1, Jeffrey M Gelfand1, Bruce A Cree1, Stephen L Hauser1, Roland G Henry1, and Ari J Green1

1Neurology, University of California, San Francisco, San Francisco, CA, United States, 2University of Pavia, Italy, 3DINOGMI, University of Genova, Italy, 4Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, University of Southern California, United States, 5Basel University Hospital, Switzerland

Fifty Multiple Sclerosis subjects were evaluated by optical coherence tomography and MRI, including multi-shell and putative myelin content imaging focused on primary visual area, thalamus and cerebellum. Predictive models of visual function performance, measured by visual evoked potentials and low contrast visual acuity were tested using a partial least square regression analysis. Combination of MRI and OCT metrics appears to strongly describe the visual function. Myelin content imaging, in particular, has a strong predictive value once there is history of optic neuritis. These preliminary results may improve the understanding of the pathological mechanisms underlying clinical dysfunction in multiple sclerosis.

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