Title |
FLAIR* to visualize veins in white matter lesions: A new tool for the diagnosis of multiple sclerosis?
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Published in |
European Radiology, April 2017
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DOI | 10.1007/s00330-017-4822-z |
Pubmed ID | |
Authors |
T. Campion, R. J. P. Smith, D. R. Altmann, G. C. Brito, B. P. Turner, J. Evanson, I. C. George, P. Sati, D. S. Reich, M. E. Miquel, K. Schmierer |
Abstract |
To explore the potential of a post-processing technique combining FLAIR and T2* (FLAIR*) to distinguish between lesions caused by multiple sclerosis (MS) from cerebral small vessel disease (SVD) in a clinical setting. FLAIR and T2* head datasets acquired at 3T of 25 people with relapsing MS (pwRMS) and ten with pwSVD were used. After post-processing, FLAIR* maps were used to determine the proportion of white matter lesions (WML) showing the 'vein in lesion' sign (VIL), a characteristic histopathological feature of MS plaques. Sensitivity and specificity of MS diagnosis were examined on the basis of >45% VIL(+) and >60% VIL(+) WML, and compared with current dissemination in space (DIS) MRI criteria. All pwRMS had >45% VIL(+) WML (range 58-100%) whilst in pwSVD the proportion of VIL(+) WML was significantly lower (0-64%; mean 32±20%). Sensitivity based on >45% VIL(+) was 100% and specificity 80% whilst with >60% VIL(+) as the criterion, sensitivity was 96% and specificity 90%. DIS criteria had 96% sensitivity and 40% specificity. FLAIR* enables VIL(+) WML detection in a clinical setting, facilitating differentiation of MS from SVD based on brain MRI. • FLAIR* in a clinical setting allows visualization of veins in white matter lesions. • Significant proportions of MS lesions demonstrate a vein in lesion on MRI. • Microangiopathic lesions demonstrate a lower proportion of intralesional veins than MS lesions. • Intralesional vein-based criteria may complement current MRI criteria for MS diagnosis. |
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Geographical breakdown
Country | Count | As % |
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Canada | 5 | 16% |
United Kingdom | 5 | 16% |
Italy | 4 | 13% |
Finland | 1 | 3% |
Serbia | 1 | 3% |
Tanzania, United Republic of | 1 | 3% |
Unknown | 14 | 45% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 26 | 84% |
Scientists | 2 | 6% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 18% |
Student > Ph. D. Student | 8 | 12% |
Student > Master | 5 | 7% |
Student > Bachelor | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Other | 11 | 16% |
Unknown | 22 | 33% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 20 | 30% |
Neuroscience | 8 | 12% |
Nursing and Health Professions | 3 | 4% |
Engineering | 2 | 3% |
Computer Science | 1 | 1% |
Other | 6 | 9% |
Unknown | 27 | 40% |