Central vein sign for multiple sclerosis: a systematic review and meta-analysis
Bhandari, A., Xiang, H., Lechner-Scott, J., and Agzarian, M. (2020) Central vein sign for multiple sclerosis: a systematic review and meta-analysis. Clinical Radiology, 75 (6). 479.e9-479.e15.
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Abstract
AIMS: To systematically review the diagnostic value of the central vein sign (CVS) in multiple sclerosis (MS) and to meta-analyse the proportion of positive lesions for CVS needed to distinguish MS from non-MS mimics.
MATERIALS AND METHODS: A literature review was performed and a proportion meta-analysis was performed to examine the proportion of the CVS in MS lesions. Studies reporting a threshold of the CVS containing lesions with 100% diagnostic accuracy were included in the meta-analysis. This was compared to MS mimics in order to establish the discriminative value of the CVS.
RESULTS: The CVS was found to be viable at lower field strengths (3 T and 1.5 T) and automated analysis is currently less accurate than manual counting. Five studies were included for the proportional meta-analysis. From the analysis, a proportion of 45% of lesions having the CVS was suggested given that the findings that the weighted proportion was 46.4% (95% confidence interval [CI]: of 40.3%–52.6%) with low heterogeneity (I2 = 0.0%; p=0.5).
CONCLUSION: Although the CVS is a clinically relevant and viable sign, further work is needed to integrate this into the existing diagnostic criteria. As manual determination is a time-consuming process, the development of automated methods will be beneficial. With improvements in computational imaging techniques, the CVS will have an important role in the diagnosis and differentiation of MS.
| Item ID: | 63305 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1365-229X |
| Copyright Information: | © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved. |
| Date Deposited: | 27 May 2020 07:36 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3209 Neurosciences > 320903 Central nervous system @ 100% |
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