Abstract #3754

A quantitative MRI-Based Normative Framework for Personalizing Microstructural Pathology in Multiple Sclerosis

Xinjie Chen^1,2,3, Po-Jui Lu^1,2,3, Mario Ocampo-Pineda^1,2,3, Alessandro Cagol^1,2,3,4, Matthias Weigel^1,2,3,5, Sabine Schädelin^1,2,3, Kwok-Shing Chan^6,7, Marcel Zwiers⁸, Jens Kuhle^2,3, Ludwig Kappos^2,3, Lester Melie-Garcia^1,2,3, José P Marques⁸, 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, Basel, Switzerland, ³Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, ⁴Department of Health Sciences, University of Genova, Genova, Italy, ⁵Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, ⁶Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Charlestown, MA, United States, ⁷Department of Radiology, Harvard Medical School, Boston, MA, United States, ⁸Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands

Synopsis

Keywords: Multiple Sclerosis, Quantitative Imaging, Neuroinflammation; Normative Model; Aging

Motivation: Quantitative MRI (qMRI) offers a unique perspective for investigating microstructural pathological changes in multiple sclerosis (MS). This study employs qMRI-based normative modeling for tracking individual MS pathology.

Goal(s): To quantify personalized cortical microstructural changes in patients with MS using qMRI-based normative models.

Approach: Hierarchical Bayesian Regression-based normative models were developed using quantitative multiparametric (R₁, R₂*, Quantitative Susceptibility Mapping) data across two centers to quantify regional cortical microstructural changes in people with MS.

Results: qMRI-based deviations in cortical microstructure exhibited significant differences across various phenotypes and correlated with clinical measures of MS disability and biofluid measures of neuro-axonal damage.

Impact: This qMRI-based normative model enables individualized quantification of multiple sclerosis pathology, which is strongly related to clinical measures and a fluid biomarker of neuroaxonal damage, opening a new perspective for clinical stratification and personalized treatment decisions.

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