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Abstract #4065

Automated Lateral Ventricle Segmentation in Multiple Sclerosis – Assessing Reliability and Clinical Impact in a 5-Years Follow-Up Cohort Study

Esther Ruberte1, Tim Sinnecker1,2, Michael Amann1,3, Yvonne Naegelin2, Iris-Katharina Penner4, Matteo Pardini5, Jens Kuhle2, Tobias Derfuss2, Christoph Stippich3, Ludwig Kappos2, Jens Wuerfel1, and Özgür Yaldizli1,2

1Medical Image Analysis Center AG, Basel, Switzerland, 2Department of Neurology, Universitätsspital Basel, Basel, Switzerland, 3Department of Neuroradiology, Universitätsspital Basel, Basel, Switzerland, 4Department of Neurology, University Hospital Düsseldorf, Düsseldorf, Germany, 5Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa and IRCCS S. Martino-IST, Genoa, Italy

As pars pro toto, lateral ventricle enlargement might give an indirect estimate of brain atrophy. In contrast to whole brain atrophy, ventricle enlargement is, however, clinically easy to assess and its quantification is robust to MR images of less than perfect quality. Here we investigate i) the applicability of an automatic lateral ventricle delineation algorithm (ALVIN) in multiple sclerosis (MS), and ii) the association between of lateral ventricle enlargement and clinical disability in MS longitudinally. We found that ALVIN reliably estimates the lateral ventricle volume in MS that is associated with whole brain atrophy and neurological as well as cognitive disability.

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