- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06432803
Metabolic Imaging for Diagnosis and Prognostication of Autoimmune encephalitiS (MIDAS)
May 22, 2024 updated by: Hospices Civils de Lyon
Autoimmune encephalitis (AE) is a rare neurological disorder mediated by autoimmune antibody response against neuronal cell surface and intraneuronal proteins associated with specific brain areas, resulting in severe inflammation and damage in the associated brain regions, all most frequently manifesting diverse cognition and memory impairment symptoms at follow-up.
However, these symptoms may co-exist or mimic other CNS autoimmune and neurodegenerative disorders.
The most common guideline for diagnosing autoimmune encephalitis relies on cerebrospinal fluid (CSF) antibody testing which might take several weeks to obtain, making it not optimal for the early diagnosis of AE.
As for magnetic resonance imaging (MRI), which is the most common imaging tool utilized for aiding in the diagnosis of AE, can possess several limitations as some patients, like anti-NMDAr AE patients, can present memory and behavioral deficits even in the presence of normal brain MRI.
Positron emission tomography (PET) with 2-deoxy-2-[fluorine-18] fluoro-D-glucose (18F-FDG) have been addressed by several studies as an important examination for the early diagnosis of AE .
One study demonstrated that the fraction of having an abnormal MRI in AE patients is lower than having an abnormal PET, by which certain PET patterns were associated with autoantibody types of AE.
Moreover, one report demonstrated that even with autoantibody negative test and normal brain MRI, FDG-PET examination showed abnormal hypometabolism and hypermetabolism patterns.
More specifically, these distinct patterns include medial temporal and striatal hypermetabolism with cortical diffuse hypometabolism.
Leiris et al. revealed that the methadology used for the analysis of these PET images is highly variable, especially intensity normalization methods, where most possess some limitations (e.g., proportional scaling) as they can impede the accurate differential diagnosis of autoimmune encephalitis (AE) by potentially indicating false hypermetabolism in otherwise preserved brain regions.
Absolute quantification is not possible since the disease presents both diffuse hypometabolism and hypermetabolism on PET images.
So, they suggested that it's best to parametrize the brain's activity by dividing it by that of the striatum.
Their voxel-based analysis, comparing individuals with AE to both healthy subjects and those with mild cognitive impairment (MCI), demonstrated that a decrease in the cortex/striatal metabolic ratio is a robust biomarker for the early diagnosis of AE.
Study Overview
Status
Active, not recruiting
Intervention / Treatment
Study Type
Observational
Enrollment (Actual)
28
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
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Pierre-Bénite, France, 69495
- CHU Lyon
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-
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
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Patients will be included from the from the database of the French Reference Centre for Paraneoplastic Neurological Syndromes and Autoimmune Encephalitis (Lyon, France)
Description
Inclusion Criteria:
- patient with positivity of auto-antibody in CSF
- patient >18 years old
- patient with auto-immune encephalitis or paraneoplastic neurological syndrome
Exclusion Criteria:
- patient without data
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
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Auto-immune encephalitis patients
Analysis of PET-scan
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Investigate and determine the clinical value of different cortex/striatal metabolic ratio patterns in each antibody-specific subtype of autoimmune encephalitis
|
|
Paraneoplastic Neurological Syndromes patients
Analysis of PET-scan
|
Investigate and determine the clinical value of different cortex/striatal metabolic ratio patterns in each antibody-specific subtype of autoimmune encephalitis
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Ratio metabolic cortex-striatum
Time Frame: Up to 10 months
|
Decrease in the metabolic ratio cortex/striatum in included patients, compared to a control reference cohort.
|
Up to 10 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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)
March 1, 2024
Primary Completion (Estimated)
June 1, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
May 14, 2024
First Submitted That Met QC Criteria
May 22, 2024
First Posted (Actual)
May 29, 2024
Study Record Updates
Last Update Posted (Actual)
May 29, 2024
Last Update Submitted That Met QC Criteria
May 22, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 69HCL24_0511
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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