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FLAIR* to visualize veins in white matter lesions: A new tool for the diagnosis of multiple sclerosis?

Overview of attention for article published in European Radiology, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 blog
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31 X users
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6 Facebook pages

Citations

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44 Dimensions

Readers on

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67 Mendeley
Title
FLAIR* to visualize veins in white matter lesions: A new tool for the diagnosis of multiple sclerosis?
Published in
European Radiology, April 2017
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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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 %
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2022.
All research outputs
#1,305,526
of 24,920,664 outputs
Outputs from European Radiology
#75
of 4,806 outputs
Outputs of similar age
#25,951
of 315,342 outputs
Outputs of similar age from European Radiology
#1
of 45 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,806 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,342 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.