ArticleNMR in biomedicine2020
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- Accuracy of the central vein sign in diagnosis of multiple sclerosis: a systematic review and meta-analysis.Journal of neurology · 2026Pooled it
- Diagnostic performance of central vein sign and paramagnetic rim lesion integration for multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Machine learning-based combination of the central vein sign, cortical lesions and paramagnetic rim lesions: a web-based tool for the diagnosis of multiple sclerosis.Brain communications · 2026Article
- Evolving the Diagnosis of Multiple Sclerosis: A New Landscape in Light of the 2024 McDonald Criteria.Biomedicines · 2025Review
- Conventional and Advanced Magnetic Resonance Imaging Biomarkers of Multiple Sclerosis in the Brain.Cureus · 2025Review
- Automated segmentation of multiple sclerosis lesions, paramagnetic rims, and central vein sign on MRI provides reliable diagnostic biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The role of AI for MRI-analysis in multiple sclerosis-A brief overview.Frontiers in artificial intelligence · 2025Review
- Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review.Journal of neurology · 2024Review
- Diagnostic performance of central vein sign versus oligoclonal bands for multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis.The Lancet regional health. Europe · 2024Review
- Artificial Intelligence and Multiple Sclerosis.Current neurology and neuroscience reports · 2024Review
- [XVI Post-ECTRIMS Meeting: review of the new developments presented at the 2023 ECTRIMS Congress (II)].Revista de neurologia · 2024Article
- Central Vein Sign and Paramagnetic Rim Lesions: Susceptibility Changes in Brain Tissues and Their Implications for the Study of Multiple Sclerosis Pathology.Diagnostics (Basel, Switzerland) · 2024Review
- The new era of artificial intelligence in neuroradiology: current research and promising tools.Arquivos de neuro-psiquiatria · 2024Article
- A multicenter pilot study evaluating simplified central vein assessment for the diagnosis of multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- The use of 7T MRI in multiple sclerosis: review and consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.Brain communications · 2024Review
- Present and future of the diagnostic work-up of multiple sclerosis: the imaging perspective.Journal of neurology · 2023Review
- Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022Article
- Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques.International journal of molecular sciences · 2022Article
- Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.NMR in biomedicine · 2022Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 5 countries.
Funding
Abstract
The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a deep learning-based prototype for automated assessment of the CVS in white matter MS lesions using data from three different imaging centers. We retrospectively analyzed data from 3 T magnetic resonance images acquired on four scanners from two different vendors, including adults with MS (n = 42), MS mimics (n = 33, encompassing 12 distinct neurological diseases mimicking MS) and uncertain diagnosis (n = 5). Brain white matter lesions were manually segmented on FLAIR* images. Perivenular assessment was performed according to consensus guidelines and used as ground truth, yielding 539 CVS-positive (CVS
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.