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Abstract #2153

Atrophy Quantification in Multiple Sclerosis: Application to the Multicenter INNI Dataset

Loredana Storelli1, Elisabetta Pagani1, Patrizia Pantano2,3, Nikolaos Petsas2, Gioacchino Tedeschi4, Antonio Gallo4, Nicola De Stefano5, Marco Battaglini5, Paola Zaratin6, Maria A. Rocca1,7,8, and Massimo Filippi1,7,8,9,10
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Department of Human Neurosciences, "La Sapienza" Rome University, Rome, Italy, 3Department of Radiology, IRCCS 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, 6Fondazione Italiana Sclerosi Multipla, Genoa, Italy, 7Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 8Vita-Salute San Raffaele University, Milan, Italy, 9Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 10Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy

Using the multicenter dataset available within the Italian Neuroimaging Network Initiative, we compared the performance of different atrophy tools on brain MRI from 457 multiple sclerosis (MS) patients and 271 healthy controls, since monitoring neurodegeneration is one of the most important goals of therapeutic strategies in MS. We found an acceptable agreement and comparable performances among the software for GM and whole brain atrophy quantification. The free licence, speed and facility of integration in the clinical routine are also important aspects to consider for the selection of the atrophy pipeline. These results should be confirmed on large-scale longitudinal data.

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