Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning.

Predictive value of imaging markers at multiple sclerosis disease onset based on gadolinium- and USPIO-enhanced MRI and machine learning.

<h4>Objectives</h4>A novel characterization of Clinically Isolated Syndrome (CIS) patients according to lesion patterns is proposed. More specifically, patients are classified according to the nature of inflammatory lesions patterns. It is expected that this characterization can infer ne...

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Bibliographic Details
Main Authors: Alessandro Crimi, Olivier Commowick, Adil Maarouf, Jean-Christophe Ferré, Elise Bannier, Ayman Tourbah, Isabelle Berry, Jean-Philippe Ranjeva, Gilles Edan, Christian Barillot
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24691080/pdf/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24691080/pdf/?tool=EBI

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