Abstract #1256

Personalized quantitative MRI multiparameter abnormality maps provide correlates of disability in multiple sclerosis patients

Xinjie Chen^1,2,3, Sabine Schädelin^1,2,3, Po-Jui Lu^1,2,3, Mario Ocampo-Pineda^1,2,3, Matthias Weigel ^1,2,3,4, Muhamed Barakovic^1,2,3, Esther Ruberte^1,2,3, Alessandro Cagol^1,2,3, Bénédicte Maréchal⁵, Tobias Kober⁵, Jens Kuhle^2,3, Ludwig Kappos^2,3, Lester Melie-Garcia^1,2,3, and Cristina Granziera^1,2,3

¹Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, ²Department of Neurology, University Hospital, Basel, Switzerland, ³Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, ⁴Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, ⁵Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland

Synopsis

Keywords: Quantitative Imaging, Multiple SclerosisWe performed an extensive assessment of the clinical relevance of a method that we had previously developed, which provides personalized quantitative MRI abnormality maps of individual multiple sclerosis (MS) patients. Specifically, we assessed the relationships between quantitative T1 (qT1), myelin water fraction (MWF), neurite density index (NDI), magnetization transfer saturation (MTsat) abnormality maps and clinical disability in a cohort of 102 MS patients and 98 healthy subjects. We found that qT1 and NDI alterations in white matter lesions were strongly related to patients' clinical disability, supporting the use of those personalized maps for patient stratification and follow-up in clinical practice.

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