- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02485223
Single Test to ARrive at MS Diagnosis. Using a Single MRI Brain Scan to Help Diagnose Multiple Sclerosis (STAR-MS)
Single Test to ARrive at MS Diagnosis. A Prospective, Longitudinal, Investigator Blinded, Pilot Study Assessing the Accuracy of a Single 3 Tesla MRI Scan in Predicting Multiple Sclerosis in Cases of Diagnostic Uncertainty
Study Overview
Status
Conditions
Detailed Description
There is no single, simple test to differentiate MS from conditions that mimic it. Apart from the patient's symptoms, doctors use Magnetic Resonance Imaging (MRI) of the brain to see if there are abnormalities which are consistent with MS. In patients without typical symptoms or a typical MRI appearance, a firm diagnosis cannot be made as other neurological illnesses can mimic symptoms of MS and the MRI scans can look very similar. Further tests are often required such as lumbar punctures, resulting in delays, discomfort for the patient and additional healthcare costs. With time the diagnosis can become clearer as patients may develop other symptoms of MS but this may take months or years.
The most common errors are from misinterpretation of the brain abnormalities or 'lesions' seen on the MRI scan. Subsequently if a patient is misdiagnosed with MS they may receive treatment they do not need. Furthermore a delay in a firm diagnosis delays treatment for another condition. With the rapid increase of new medications in the last few years, accurate and rapid diagnosis is paramount.
Pathologically (when looking at lesions using a microscope) MS lesions usually have a vein running through the centre, whereas in lesions arising from other conditions, the investigators hypothesize that no central vein is seen. The investigators can therefore distinguish between patients with MS and patients without it.
The researchers therefore want to test the value of a clinical 3-Tesla MRI brain scan in accurately distinguishing between MS and other conditions, with MRI sequences that have been refined over the last few years.
Patients will only have one research MRI brain scan and then be followed up by their neurologist, who will confirm the final diagnosis. The investigators shall then look back at the original scans to see if those with MS had veins within their lesions and if those without MS had lesions without veins
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Nottinghamshire
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Nottingham, Nottinghamshire, United Kingdom, NG7 2UH
- Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, UK
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Able to tolerate an MRI brain scan
- No contraindications to MRI
- Radiological suspicion of MS, but clinically atypical or Clinical suspicion of MS, but radiologically atypical
- Radiological or clinical suspicion of any of the following with a routine MRI brain scan showing white matter lesions; Autoimmune/Inflammatory; Antiphospholipid syndrome, Neurosarcoidosis, Neuro-Behcet's disease, Neuromyelitis Optica, Systemic lupus erythematosus, Primary CNS vasculitis, Secondary CNS vasculitis, Sjogren's syndrome, Susac syndrome. Ischaemic; Hypertensive ischaemic disease (small vessel disease), embolic disease. Infective ; Lyme disease, Cytomegalovirus CNS infection, Toxocariasis, Neurocysticercosis, Whipple's disease, Progressive Multifocal Leukoencephalopathy, Herpes virus (HHV) infection e.g VZV, HIV, Toxoplasmosis, Tuberculosis, Neurosyphilis. Neoplastic; Lymphoma, Glioma, Primary CNS Lymphoma, Cerebral metastases. Other; CADASIL, Histiocytosis, Migraine, Mitochondrial disease, Leukodystrophy.
Exclusion Criteria:
- Unable to tolerate a further MRI scan
- Unsafe to perform an MRI scan
- Pregnancy
- Participants with normal routine clinical scans
- Unable to give written informed consent
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Difference in the proportion of central veins:lesions in patients with MS and non-MS.
Time Frame: After 1 year of follow up with a confirmed diagnosis.
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To detect this difference with an alpha of 0.05 and power of 0.8, (based on previous data that shows a mean proportion of approx.
60% in MS patients and 6% in ischaemic patients) we will need 12 patients with MS and 12 with non-MS at 1 year of follow up.
However given the fact that approx.
40% of patients will have a diagnosis of MS at 1 year, we will need to scan 60 patients in total.
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After 1 year of follow up with a confirmed diagnosis.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity of using a proportion of central veins:lesions in diagnosing MS.
Time Frame: After 1 year of follow up with a confirmed diagnosis
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After 1 year of follow up with a confirmed diagnosis
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Specificity of using a proportion of central veins:lesions in diagnosing MS.
Time Frame: After 1 year of follow up with a confirmed diagnosis
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After 1 year of follow up with a confirmed diagnosis
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Positive predictive value of the central vein:lesion MRI test.
Time Frame: After 1 year of follow up with a confirmed diagnosis
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After 1 year of follow up with a confirmed diagnosis
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Negative predictive value of the central vein:lesion MRI test.
Time Frame: After 1 year of follow up with a confirmed diagnosis
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After 1 year of follow up with a confirmed diagnosis
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Optimal proportion of central veins:lesions to make a diagnosis of MS.
Time Frame: After 1 year of follow up with a confirmed diagnosis.
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Receiver Operating Characteristic (ROC) curves will be used.
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After 1 year of follow up with a confirmed diagnosis.
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Rate of patient recruitment.
Time Frame: After 1 year
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After 1 year
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Cohen's kappa inter-rater agreement for the diagnosis of MS using the MRI test.
Time Frame: After 1 year of follow up.
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Can different observers calculate the same proportion of central veins:lesions on each scan.
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After 1 year of follow up.
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Dr Nikos Evangelou, MD, Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, UK
Publications and helpful links
General Publications
- Tallantyre EC, Brookes MJ, Dixon JE, Morgan PS, Evangelou N, Morris PG. Demonstrating the perivascular distribution of MS lesions in vivo with 7-Tesla MRI. Neurology. 2008 May 27;70(22):2076-8. doi: 10.1212/01.wnl.0000313377.49555.2e. No abstract available.
- Tallantyre EC, Dixon JE, Donaldson I, Owens T, Morgan PS, Morris PG, Evangelou N. Ultra-high-field imaging distinguishes MS lesions from asymptomatic white matter lesions. Neurology. 2011 Feb 8;76(6):534-9. doi: 10.1212/WNL.0b013e31820b7630.
- Mistry N, Dixon J, Tallantyre E, Tench C, Abdel-Fahim R, Jaspan T, Morgan PS, Morris P, Evangelou N. Central veins in brain lesions visualized with high-field magnetic resonance imaging: a pathologically specific diagnostic biomarker for inflammatory demyelination in the brain. JAMA Neurol. 2013 May;70(5):623-8. doi: 10.1001/jamaneurol.2013.1405.
- Sati P, George IC, Shea CD, Gaitan MI, Reich DS. FLAIR*: a combined MR contrast technique for visualizing white matter lesions and parenchymal veins. Radiology. 2012 Dec;265(3):926-32. doi: 10.1148/radiol.12120208. Epub 2012 Oct 16.
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 15022 [Sponsor reference]
- 15/NW/0286 (Other Identifier: NRES Committee North West - Greater Manchester East)
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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