MRI Biomarkers Predictive of Disability Progression in Patients With Multiple Sclerosis

May 4, 2026 updated by: Poitiers University Hospital

Evaluation of MRI Biomarkers Predictive of Disability Progression in Patients With Multiple Sclerosis

The transition from relapsing-remitting multiple sclerosis to secondarily progressive multiple sclerosis (SPMS) is difficult to identify. Typically, SPMS is diagnosed retrospectively, with a significant delay, on the basis of a clinical history of progressive worsening, independent of relapses. Thus, SPMS is often associated with a considerable period of diagnostic uncertainty.

The use of ultra-high field imaging can shed light on the mechanisms of disability progression thanks to its better spatial resolution and advanced imaging techniques.

The new morphological imaging techniques make it possible to visualize chronic inflammatory lesions and to evaluate their evolution. It also allows for the precise measurement of brain atrophy, a reference in the evaluation of neurodegeneration.

Metabolic imaging via proton spectroscopy allows the analysis of several promising cerebral metabolites that can provide information on cellular energy metabolism, mitochondrial function, or oxidative stress, and can help identify tissues at risk of neurodegeneration. Sodium imaging can provide information on axonal energy metabolism before the occurrence of stable and irreversible axonal damage. This technique is promising as an early marker of neurodegeneration.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Poitiers, France, 86000
        • Recruiting
        • PoitiersUH
        • Contact:
          • Amélie Dos Santos

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Age ≥ 18 years,
  • Duration of disease ≤ 25 years,
  • Irreversible disability ≤ 7 (permanent wheelchair use) on the EDSS scale

Exclusion Criteria:

  • Other progressive neurological disease,
  • Isolated radiologic syndrome (RIS),
  • Severe psychiatric pathology not in balance,
  • Change in dosage, discontinuation or initiation of a psychotropic treatment within the last month,
  • Change in background MS treatment for less than 3 months,
  • A course of corticosteroids (oral or intravenous) for less than one month,
  • Patient with a contraindication to MRI: pregnancy, metallic ocular foreign body (accidental splinters or others), pacemaker, implantable defibrillator, neurostimulator not compatible with MRI 7.0 T, cochlear implants and in general any electronic medical equipment implanted in an irremovable way: metallic cardiac valve, vascular clips (formerly implanted on cranial aneurysm), metallic prosthesis...),
  • Illiterate and non-French speaking patient: patient who is partially or completely unable to read and write French.
  • Patient benefiting from reinforced protection, i.e. minor, subject deprived of liberty by a judicial or administrative decision, subject staying in a health or social establishment, adult under legal protection and finally patient in emergency situation,
  • Pregnant or breastfeeding women, women of childbearing age who do not have effective contraception (hormonal/mechanical: per os, injectable, transcutaneous, implantable, intrauterine device, or surgical: tubal ligation, hysterectomy, total oophorectomy)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Multiple sclerosis
Investigation of the association, in patients with multiple sclerosis, between MRI biomarker data at inclusion and progression of physical disability during follow-up (6, 12, 18 and 24 months) assessed by a composite endpoint EDSS plus (EDSS, 9HPT, T25FW)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Identify imaging biomarkers at inclusion predictive of disability progression.
Time Frame: up to 24 months

Determine the correlation between biomarkers concentrations (in mmol/L) with physical disability at inclusion and during follow-up (6, 12, 18 and 24 months) in patients with multiple sclerosis.

Physical disability is assessed by an Expanded Disability Status Scale plus (EDSS-plus). EDSS-Plus defined as progression on ⩾1 of 3 components (T25FW, 9HPT, EDSS). EDSS score is ordinal rating system ranging from 0 (normal neurological status) to 10 (death), Timed 25-Foot Walk test (T25FW) (second) and 9-Hole Peg Test (9HPT) based on the time for patient to take the 9 pegs and place them in the holes (second).

up to 24 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determine the correlation between brain MRI and the concentration of imaging biomarkers (mmols) at 6, 12, 18 and 24 months.
Time Frame: up to 24 months
up to 24 months
Develop realistic mathematical models of disease progression associated with clinical assessment of disability through dynamics, by the EDSS-plus score (EDSS scale from 0 to 10, T25FW in seconds, 9HPT in seconds).
Time Frame: up to 24 months
Mathematical models of disease progression using the concentration of biomarkers (in mmol) associated with clinical evaluation of disability (EDSS-plus) over a dynamic period.
up to 24 months
Develop an artificial intelligence algorithm to identify predictive markers for disability. The artificial intelligence algorithm utilizes patients' clinical (EDSSS-Plus Scale) and radiological (brain MRI) characteristics.
Time Frame: up to 24 months
up to 24 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 25, 2023

Primary Completion (Estimated)

May 1, 2030

Study Completion (Estimated)

May 1, 2030

Study Registration Dates

First Submitted

April 5, 2022

First Submitted That Met QC Criteria

August 3, 2022

First Posted (Actual)

August 8, 2022

Study Record Updates

Last Update Posted (Actual)

May 5, 2026

Last Update Submitted That Met QC Criteria

May 4, 2026

Last Verified

May 1, 2026

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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