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Abstract #2817

Application of an exponential recovery model to multiparametric 3D MRI to characterize the evolution of active lesions in Multiple Sclerosis

Lucas Soustelle1,2, Andreea Hertanu1,2, Arnaud Le Troter1,2, Soraya Gherib1,2, Samira Mchinda1,2, Patrick Viout1,2, Lauriane Pini1,2, Claire Costes1,2, Sylviane Confort-Gouny1,2, Adil Maarouf1,2,3, Bertrand Audoin1,2,3, Audrey Rico1,2,3, Clémence Boutière1,2,3, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Gopal Varma4, David C. Alsop4, Jean Pelletier1,2,3, Olivier M. Girard1,2, and Guillaume Duhamel1,2
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3APHM, Hôpital Universitaire Timone, Service de neurologie, Marseille, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

Active lesions in Multiple Sclerosis (MS) present successive phases, from formation through their chronic stage. Characterizing these phases may help us better comprehend the disease evolution. In this work, multiparametric MRI was performed in a 12-month longitudinal study of MS patients presenting new active lesions. An exponential recovery model was proposed to characterize the evolution of MR metrics in these lesions, allowing derivation of the recovery rates of inhomogeneous MTR, conventional MTR, DTI and T1-weighted images. Results show that recovery capacities are patient-dependent and that metrics differ in performance, presumably due to their respective sensitivity to the underlying MS mechanisms.

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