Multiple Sclerosis Clinical Trial
— STAR-MSOfficial title:
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
Verified date | December 2015 |
Source | University of Nottingham |
Contact | n/a |
Is FDA regulated | No |
Health authority | United Kingdom: Research Ethics Committee |
Study type | Observational |
This is a pilot study (a small scale study testing procedures so that the investigators can apply this to a larger scale study). This study will test the accuracy of a new brain scan (Magnetic Resonance Imaging) technique in predicting the diagnosis of multiple sclerosis (MS) in patients where there is uncertainty about the diagnosis. For patients where there is a suspicion (but not definite) diagnosis of MS, an additional MRI brain scan will be offered. There will be no other research tests and the patient is followed up to see what the eventual diagnosis is. The investigators will then review the original brain scan to see if this predicted the diagnosis of MS or not.
Status | Enrolling by invitation |
Enrollment | 60 |
Est. completion date | May 2017 |
Est. primary completion date | May 2016 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 18 Years to 70 Years |
Eligibility |
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 |
Observational Model: Cohort, Time Perspective: Prospective
Country | Name | City | State |
---|---|---|---|
United Kingdom | Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, UK | Nottingham | Nottinghamshire |
Lead Sponsor | Collaborator |
---|---|
University of Nottingham |
United Kingdom,
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. — View Citation
Sati P, George IC, Shea CD, Gaitán 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. — View Citation
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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Difference in the proportion of central veins:lesions in patients with MS and non-MS. | 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. | After 1 year of follow up with a confirmed diagnosis. | No |
Secondary | Sensitivity of using a proportion of central veins:lesions in diagnosing MS. | After 1 year of follow up with a confirmed diagnosis | No | |
Secondary | Specificity of using a proportion of central veins:lesions in diagnosing MS. | After 1 year of follow up with a confirmed diagnosis | No | |
Secondary | Positive predictive value of the central vein:lesion MRI test. | After 1 year of follow up with a confirmed diagnosis | No | |
Secondary | Negative predictive value of the central vein:lesion MRI test. | After 1 year of follow up with a confirmed diagnosis | No | |
Secondary | Optimal proportion of central veins:lesions to make a diagnosis of MS. | Receiver Operating Characteristic (ROC) curves will be used. | After 1 year of follow up with a confirmed diagnosis. | No |
Secondary | Rate of patient recruitment. | After 1 year | No | |
Secondary | Cohen's kappa inter-rater agreement for the diagnosis of MS using the MRI test. | Can different observers calculate the same proportion of central veins:lesions on each scan. | After 1 year of follow up. | No |
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