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Abstract #3385

Quantification of Thalamic Volume in Multiple Sclerosis: From the Multicenter INNI Dataset Towards the Clinical Application

Loredana Storelli1, Elisabetta Pagani1, Patrizia Pantano2,3, Gioacchino Tedeschi4, Nicola De Stefano5, Maria Assunta Rocca1,6,7, and Massimo Filippi1,6,7,8,9
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy, 3IRCCS NEUROMED, Pozzilli, Italy, 4Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 5Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy, 6Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 7Vita-Salute San Raffaele University, Milan, Italy, 8Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 9Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy

Synopsis

Keywords: Multiple Sclerosis, NeuroinflammationThalamic atrophy has been found since the earliest phases of multiple sclerosis (MS). However, this measure is not included in clinical practice, due to the time-consuming manual segmentation and technical challenges. By comparing thalamic segmentations from three available automatic methods in a multicenter dataset, we found that the inclusion of fractional anisotropy maps facilitated the automatic identification of thalamic boundaries increasing robustness of the results. In particular, the multimodal approach (FSL-MIST) showed a better capability to detect small longitudinal variations of thalamic volumes in MS patients and a better correlation with another relevant MRI measure such as the lesion volume.

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