Central vein sign for multiple sclerosis: A systematic review and meta-analysis
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 (I 2 = 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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Technical demands in the acquisition process as well as the need for training of neuroradiologists to improve diagnostic certainty limits the availability of novel MRI markers at present.
“Furthermore, technical demands in the acquisition process as well as the need for training of neuroradiologists to improve diagnostic certainty limits the availability of these novel MRI markers at present.”
From Applying the 2024-revised McDonald criteria for multiple sclerosis using conventional diagnostic tools: a single-centre prospective cohort study in Germany (2026) · cites this paper as [41]
The citation lists haven’t been fetched yet
References 37 · Cited by 31
- Authors
- Bhandari, A., Xiang, H., Lechner-Scott, J., & Agzarian, M.
- Affiliations
- Townsville Hospital (AU)
- James Cook University (AU)
- Flinders University (AU)
- Corresponding author
- Bhandari, A.
- Venue
- Clinical Radiology
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 75
- Issue
- 6
- Pages
- 479.e9-479.e15
- ISSN
- 0009-9260 (ISSN-L)
- OpenAlex
- W3009930838
- Cited by
- 31
- References
- 37
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 8 · 2023: 3 · 2022: 5 · 2021: 2 · 2020: 2
- FWCI
- 0.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Radiology (publishedVersion)
- PubMed (publishedVersion)
- ResearchOnline - JCU (James Cook University) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- central vein sign, multiple sclerosis, diagnostic accuracy, differential diagnosis, magnetic resonance imaging, diagnostic criteria
- MeSH terms
- Diagnosis, Differential, Humans, Multiple Sclerosis, Veins, Magnetic Resonance Angiography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review