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NCT07805473Not yet recruiting

[18F]F-DED PET Imaging of Reactive Astrocytes in Multiple Sclerosis

[18F] Fluorodeprenyl-D2 PET Imaging of Reactive Astrocytes as Chronic Active Inflammation Marker in Multiple Sclerosis

Source: ClinicalTrials.gov · Last updated 4 Sept 2026

Brief summary (registry, in English)

Despite significant advancements in multiple sclerosis (MS) treatment over the past decade, a specific imaging biomarker for predicting disease progression remains lacking. This project is conducted as a non-therapeutic clinical trial with an investigational medicinal product and aims to validate PET imaging with the radiotracer \[18F\]fluorodeprenyl-D2 (\[18F\]F-DED) as a diagnostic tool for detecting chronic active lesions in MS and to evaluate its potential as a predictor of disease progression. Chronic astrocyte activation plays a key role in MS pathology, yet current imaging techniques, such as MRI, have limited sensitivity in identifying chronic neuroinflammation. By leveraging PET imaging with \[18F\]F-DED, which specifically targets activated astrocytes, this study seeks to provide a more precise assessment of chronic inflammatory lesions in MS patients. The project will follow a cross-sectional and longitudinal design: O1) To validate the ability of \[18F\]F-DED PET to identify chronic active lesions by comparing PET findings with MRI markers, including paramagnetic rings (PRLs) and determine its diagnostic accuracy; O2) To explore the relationship between astrocyte-targeted PET imaging and blood-based biomarkers of astrogliosis ; O3) To assess the predictive value of PET-detected chronic inflammation in disease progression over a three-year follow-up period through regression analysis, integrating clinical parameters such as disability progression (EDSS scores), relapse rates, and MRI changes. A total of 30 MS patients will be recruited from the MS Unit of Hospital del Mar and undergo PET and MRI imaging, following a single intravenous administration of the investigational radiotracer \[18F\]F-DED, together with MRI imaging with advanced image fusion techniques ensuring precise lesion localization. Machine learning models will be applied to imaging and clinical data to identify biomarkers associated with MS progression. By improving diagnostic accuracy and predicting disease evolution, this clinical trial aims to enhance patient stratification and treatment personalization.

Status (registry)
Not yet recruiting
Study type
Interventional
Enrollment
30 (estimated)
First submitted
1 Sept 2026
Start date
1 Dec 2026
Primary completion date
1 Dec 2029
Lead sponsor
Parc de Salut Mar
NCT number
NCT07805473
EU CT number
2026-525702-35-00

What you commit to

  • Study type: Interventional
  • Planned participants: 30
  • From 1 Dec 2026 to the primary completion date, 1 Dec 2029
  • 1 site in 1 country
  • Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

  • Age 18-65 years.
  • Confirmed diagnosis of multiple sclerosis according to the 2017 McDonald criteria.
  • Ability to undergo MRI and PET imaging.

Age in the registry: 18 years to 65 years · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.

SiteCityCountrySite status
Hospital del Mar Research Institute
Coordinator of this site? Confirm its status
BarcelonaSpainUnknown status

This page is information, not medical advice. Discuss any trial with your doctor.