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Mult Scler. 2018 May;24(6):750-757. doi: 10.1177/1352458517726383. Epub 2017 Aug 18.

Diagnostic performance of central vein sign for multiple sclerosis with a simplified three-lesion algorithm.

Author information

1
Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.
2
Department of Radiology, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.
3
Mellen Center for Multiple Sclerosis, Cleveland Clinic Foundation, Cleveland, OH, USA.
4
Translational Neuroradiology Section, Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.

Abstract

BACKGROUND:

Detection of a "central vein sign" (CVS) on FLAIR* magnetic resonance imaging (MRI) is highly specific and sensitive for multiple sclerosis (MS). We evaluated the specificity and sensitivity of simplified CVS algorithms for MS diagnosis.

METHODS:

MRIs from 10 participants with MS without additional comorbidities for MRI white matter abnormalities; 10 with MS and additional comorbidities for white matter abnormalities; 10 with migraine, white matter abnormalities, and no additional comorbidities; and 10 who had previously been erroneously diagnosed with MS were evaluated. 3T MRI T2-FLAIR and T2*-weighted sequences were acquired to create FLAIR* images. Three MS physician reviewers, blinded to diagnosis, evaluated two different algorithms: (1) three lesions pre-selected on FLAIR were subsequently evaluated for CVS on FLAIR*( select3). (2) FLAIR* was evaluated for up to three lesions with CVS ( select3*).

RESULTS:

For select3, average specificity across reviewers for MS was 0.98 and sensitivity 0.52 and a correct prediction of diagnosis demonstrated kappa = 0.29. For select3*, specificity was 0.81, sensitivity was 0.83, and kappa was 0.31.

CONCLUSION:

A simplified determination of CVS in three white matter lesions on 3T FLAIR* MRI demonstrated good specificity and sensitivity and fair inter-rater reliability for a diagnosis of MS and with further study, may be a candidate for clinical application.

KEYWORDS:

MRI; Multiple sclerosis; biomarker

PMID:
28820013
PMCID:
PMC5794670
[Available on 2019-05-01]
DOI:
10.1177/1352458517726383

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