Abstract #0346

Application of Lesion Probability Maps to Predict Progression in Primary-Progressive Multiple Sclerosis: A 10-Year Multi-Centre Study

Benedetta Bodini¹, Marco Battaglini², Nicola De Stefano², Zhaleh Khaleeli¹, Frederik Barkhof³, Bruno Brochet⁴, Vincent Dousset⁵, Massimo Filippi⁶, Xavier Montalban⁷, Chris Polman³, Marco Rovaris⁶, Alex Rovira⁷, Jaume Sastre-Garriga⁷, David H. Miller⁸, Rebecca Samson⁸, Olga Ciccarelli¹, Alan J. Thompson¹

¹Dept. of Brain Repair and Rehabilitation, Institute of Neurology, UCL, London, UK; ²Dept. of Neurological and Behavioural Sciences, University of Siena, Siena, Italy; ³Department of Radiology, MS Center, VU University Medical Centre, Amsterdam, Netherlands; ⁴Hopital Pellegrin, Centre Hospitalier Universitaire, Bordeaux, France; ⁵Bordeaux Neuroscience Institute, University Victor Segalen, Bordeaux, France; ⁶Neuroimaging Research Unit, San Raffaele Scientific Institute, Milan, Italy; ⁷Depts. of Neuroimmunology and Radiology, Hospital Vall dHebron, Barcelona, Spain; ⁸Dept. of Neuroinflammation, Institute of Neurology, UCL, London, London, UK

The aim of this study was to assess whether the spatial distribution of T2 lesions predicted long-term progression in primary progressive multiple sclerosis (PPMS). To clarify this issue, we applied Lesion Probability Map, a novel technique, to a large cohort of PPMS patients followed-up over 10 years. We found that the spatial distribution of T2 lesions at baseline was relevant in predicting the risk of long-term progression. In particular, lesions in the motor and associative tracts correlated with more rapid clinical progression. We confirmed that male gender was associated with a worse long-term prognosis.