Abstract #2817

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

Lucas Soustelle^1,2, Andreea Hertanu^1,2, Arnaud Le Troter^1,2, Soraya Gherib^1,2, Samira Mchinda^1,2, Patrick Viout^1,2, Lauriane Pini^1,2, Claire Costes^1,2, Sylviane Confort-Gouny^1,2, Adil Maarouf^1,2,3, Bertrand Audoin^1,2,3, Audrey Rico^1,2,3, Clémence Boutière^1,2,3, Maxime Guye^1,2, Jean-Philippe Ranjeva^1,2, Gopal Varma⁴, David C. Alsop⁴, Jean Pelletier^1,2,3, Olivier M. Girard^1,2, and Guillaume Duhamel^1,2

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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