ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2019
Impact of 3 Tesla MRI on interobserver agreement in clinically isolated syndrome: A MAGNIMS multicentre study.
Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- IVIM-DWI-Based Radiomics for Lesion Phenotyping and Clinical Status Prediction in Relapsing-Remitting Multiple Sclerosis.Journal of clinical medicine · 2025Article
- Conventional and Advanced Magnetic Resonance Imaging Biomarkers of Multiple Sclerosis in the Brain.Cureus · 2025Review
- Spinal cord lesions in relapsing-remitting multiple sclerosis: Prognostic value of intrathecal production of immunoglobulins.PloS one · 2025Article
- Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.Scientific reports · 2023Article
- [New MRI guidelines for multiple sclerosis].Der Radiologe · 2022Review
- Sensitivity of portable low-field magnetic resonance imaging for multiple sclerosis lesions.NeuroImage. Clinical · 2022Article
- Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework.NeuroImage · 2021Article
- An anomaly detection approach to identify chronic brain infarcts on MRI.Scientific reports · 2021Article
- A Deep Learning-Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations.AJNR. American journal of neuroradiology · 2019Article
- Relevance of brain lesion location for cognition in vascular mild cognitive impairment.NeuroImage. Clinical · 2019Article
- Three-Tesla MRI does not improve the diagnosis of multiple sclerosis: A multicenter study.Neurology · 2018Article
Corrections and comments
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Authors and funding
23 authors at 13 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCompared to 1.5 T, 3 T magnetic resonance imaging (MRI) increases signal-to-noise ratio leading to improved image quality. However, its clinical relevance in clinically isolated syndrome suggestive of multiple sclerosis remains uncertain.
objectivesThe purpose of this study was to investigate how 3 T MRI affects the agreement between raters on lesion detection and diagnosis.
methodsWe selected 30 patients and 10 healthy controls from our ongoing prospective multicentre cohort. All subjects received baseline 1.5 and 3 T brain and spinal cord MRI. Patients also received follow-up brain MRI at 3-6 months. Four experienced neuroradiologists and four less-experienced raters scored the number of lesions per anatomical region and determined dissemination in space and time (McDonald 2010).
resultsIn controls, the mean number of lesions per rater was 0.16 at 1.5 T and 0.38 at 3 T ( p = 0.005). For patients, this was 4.18 and 4.40, respectively ( p = 0.657). Inter-rater agreement on involvement per anatomical region and dissemination in space and time was moderate to good for both field strengths. 3 T slightly improved agreement between experienced raters, but slightly decreased agreement between less-experienced raters.
conclusionOverall, the interobserver agreement was moderate to good. 3 T appears to improve the reading for experienced readers, underlining the benefit of additional training.
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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.