White and Gray Matter Multiple Sclerosis Spinal Cord Lesion Characteristics and Individualized Tissue Damage Assessment Using 7 T T1 Mapping

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Authors: Nilser Laines-Medina, Samira Mchinda, Benoît Testud, Arnaud Le Troter, Lauriane Pini, Bertrand Audoin, Jean Pelletier, Sarah Demortière, Julien Cohen-Adad, Virginie Callot
Cited by: 1
References: 54

Abstract

OBJECTIVES: The aim of this exploratory study was to demonstrate how 7 T MP2RAGE T1 mapping can be used to evaluate spinal cord (SC) tissue damage and lesion characteristics in multiple sclerosis (MS) at both subregional and individual levels. MATERIALS AND METHODS: Fifteen patients with relapsing-remitting MS (pwRRMS; mean disease duration = 32 ± 24.9 mo) and 15 age-matched healthy controls (HC) underwent 7 T cervical 3D MP2RAGE imaging with submillimetric spatial resolution. Automatic SC and lesion segmentations were obtained and manually corrected when necessary. Images were registered to the AMU7T template space to extract T1 values from specific regions of interest (ROIs), including white matter (WM) tracts: corticospinal (CST), lateral sensory (LST), posterior sensory (PST), ventral motor (VMT), and gray matter (GM) subregions: ventral, intermediate, and dorsal. Individual Z-score maps were computed and used to derive a global index of tissue impairment (patient-specific Z-score barplot) for lesion and normal appearing tissues (NAT). Finally, MS lesions were further characterized by their relative lesion load (RLL%), frequency maps, and topography across ROIs. RESULTS: Lesions were predominantly located in the posterior half of the cord, with GM showing the highest RLL. However, no lesions were observed exclusively in GM.An increasing gradient in T1 values was observed, with T1_HC

Fields of Study & Subjects

Multiple Sclerosis Research Studies Advanced Neuroimaging Techniques and Applications Neuroinflammation and Neurodegeneration Mechanisms

Publication details

Journal / source
Investigative Radiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Publication date
13 April 2026
Language
EN