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ArticlemedRxiv : the preprint server for health sciences2025

Spinal Cord Versus Brain Imaging Biomarkers of Multiple Sclerosis Trajectory Combining 7T and 3T MRI.

Alessandro Miscioscia, Constantina A Treaba, Elena Barbuti, Valeria T Barletta, Jacob Sloane, Eric C Klawiter, Julien Cohen-Adad, Paolo Gallo, Patrizia Pantano, Caterina Mainero

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Alessandro Miscioscia
Constantina A Treaba
Elena Barbuti
Valeria T Barletta
Jacob Sloane
Eric C Klawiter
Julien Cohen-Adad
Paolo Gallo
Patrizia Pantano
Caterina Mainero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In multiple sclerosis (MS), 7 Tesla (7T) MRI improves the visualization of cortical (CLs) and white matter (WM) lesions with a paramagnetic rim (PRLs), associated with smoldering inflammation. Spinal cord (SC) atrophy is a critical determinant of clinical disability in MS, but its importance relative to PRLs and CLs in predicting neurological disability remains unclear. Purpose: To identify the most relevant predictors for baseline neurological disability and 4-year disease progression independent of relapse activity (PIRA) in a heterogeneous MS cohort. Materials and Methods: One-hundred-twelve MS patients (83 relapsing-remitting, 29 secondary progressive) were prospectively recruited between 2010 and 2024. 7T T2*-susceptibility-weighted imaging was acquired to segment CLs, PRLs, and non-rim WM lesions, and 3T T1-weighted brain MRI to estimate cortical thickness, brain WM volume, and the SC C2-C3 cross-sectional area (CSA) using FreeSurfer and Spinal Cord Toolbox. Expanded Disability Status Scale (EDSS) was assessed at baseline and longitudinally, in 97/112 MS patients, after a mean follow-up of 4.0 years. Associations between imaging metrics and clinical outcomes were evaluated using regression models. Results: Baseline EDSS was associated with non-rim WM lesion volume (p=<0.001), CL volume (p=0.001), brain WM volume (p=0.017), and C2-C3 CSA (p=0.003). At follow-up, 23/97 patients showed PIRA. PIRA was associated with PRL volume (p=0.030), CL volume (p=0.011), and brain WM volume (p<0.001). A stepwise logistic regression identified CL volume as the strongest independent predictor of PIRA (Nagelkerke R Conclusion: In MS, different imaging biomarkers are associated with either the current disability or PIRA. Spinal cord atrophy mainly explains the current EDSS, while brain WM atrophy and PRLs provide additional insights into future disability trajectory. Among all markers, CLs emerged as the main driver for PIRA.

Identifiers

PMID40708855
PMCPMC12288940

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.