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.
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
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% |
Downloads: |
Total: 1 |
More Statistics |