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 Sinnecker^1,2, Michael Amann^1,3, Yvonne Naegelin², Iris-Katharina Penner⁴, Matteo Pardini⁵, Jens Kuhle², Tobias Derfuss², Christoph Stippich³, Ludwig Kappos², Jens Wuerfel¹, and Özgür Yaldizli^1,2

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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