About this trial
Reference MRI scan is recommended 6 months after treatment onset in patients with multiple sclerosis (MS), and follow-up scans at 12 months later to monitor subclinical activity. When monitoring treatment response in patients treated with disease modifying treatments (DMTs), the measurement of new or enlarging T2/FLAIR hyperintense lesions (NELs) is the preferred MRI method supplemented by contrast-enhancing lesions (CELs) for monitoring treatment response. However, some studies have suggested the deposition of gadolinium-based contrast agents in the basal ganglia and dentate nucleus of patients who underwent serial MRI acquisitions. Although significant clinical consequences of these deposits have not been demonstrated, further studies are required to better understand the potential long-term biological and clinical effects of gadolinium administration. To circumvent this potential risk, several recommendations suggested avoiding unnecessary use of gadolinium for follow-up scans. New sequences are also developed to replace gadolinium injection for the detection of active lesions. Moreover, MRI remains costly and time-consuming. In addition, systematic yearly MRI monitoring is not adapted to detect silent active lesions. This can delay identification of treatment failure and increase the risk of relapses and disability worsening, especially in the context of escalation therapy.
Therefore, biological markers could allow more frequent analysis of disease activity and detect treatment failure earlier than classical clinical and MRI monitoring. Their use would greatly help clinicians to switch for high efficacy treatments (HET) and avoid potential relapses.
Measurement of a structural axonal protein, neurofilament, in serum or plasma has shown promise as a marker of neuroaxonal injury and a measure of treatment response. In MS, cerebrospinal fluid (CSF) neurofilament-light chain (NfL) is also increased and is positively associated with MRI lesion load and disability scores and is a marker of treatment response.
WThe study authors hypothesize that monthly plasma neurofilament-light chain (pNfL) monitoring can sensitively highlight subclinical (radiological disease activity) RDA by performing early MRI scans to confirm EDA and lead to timely treatment escalation.
The main objective of this study is to compare the time to EDA in both arms (monthly pNfL monitoring vs. standard care with regular MRI scans), in patients with EDA.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patient with RRMS according to 2024 McDonald's criteria.
Less than 10 years from disease onset.
Active RRMS (EDA) observed during the last 24 months: relapse and/or NELs and/or CELs as compared to a previous MRI performed within 24 months (± 3 months).
Current MET (IFN, GA, TE, fumarates) for less than 24 months.
Disqualifiers
Pregnant or breastfeeding woman.
Patient unable to perform brain and/or spinal cord MRI scans.
Patient not willing to perform monthly blood punctures.
Patient treated with HET (S1P agonists, natalizumab, ocrelizumab, ofatumumab, rituximab, alemtuzumab, cladribine, mitoxantrone).
Trial design
Parallel
Treatments tested in this trial
Monthly pNfL monitoring
Other interventionMonthly pNfL monitoring from blood samples. In case of \>50% pNfL increase as compared to the mean of the 2 previous measures, an unscheduled visit with brain and spinal cord MRI will be scheduled
Treatment groups
Trial outcomes
Primary outcomes
Time to evidence of disease activity between groups
As assessed by new relapse and/or occurrence of NELs and/or CELs on a follow-up MRI scan
Time to evidence of disease activity between groups
As assessed by new relapse and/or occurrence of NELs and/or CELs on a follow-up MRI scan
Secondary outcomes
Proportion of CELs between groups
percent of active (contrast-enhancing) lesion
Proportion of CELs between groups
percent of active (contrast-enhancing) lesion
Rate of clinical relapses between groups
percentage patients experiencing relapse
Rate of clinical relapses between groups
percentage patients experiencing relapse
Other outcomes
To estimate the best threshold of pNfL increase (last measure as compared to the mean of 2 previous measures) with best accuracy to detect evidence of disease activity
pNfL levels in pg/mL
Time to evidence of disease activity using optimized threshold in experimental group
Months
Correlation between basal pNfL fluctuations in patients with no evidence of disease activity and brain health questionnaire score
Brain-Q
Description of adverse events
Descriptive
Sponsors and contacts
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