ArticlePediatric radiology2022
Utility of paramagnetic rim lesions on 1.5-T susceptibility phase imaging for the diagnosis of pediatric multiple sclerosis.
Article in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Central vein sign and paramagnetic rim lesions in pediatric-onset multiple sclerosis: a systematic review and meta-analysis.Journal of neurology · 2026Pooled it
- Reliability of paramagnetic rim lesion classification on quantitative susceptibility mapping (QSM) in people with multiple sclerosis: Single-site experience and systematic review.Multiple sclerosis and related disorders · 2023Pooled it
- Use of MRI in neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein antibody-associated disease - MAGNIMS consensus recommendations.Nature reviews. Neurology · 2026Review
- Diagnostic performance of central vein sign and paramagnetic rim lesion integration for multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Paramagnetic Rim Lesions in Pediatric Multiple Sclerosis and Their Association With Brain Tissue Atrophy.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
- Epidemiology and characteristics of multiple sclerosis in Latin America.Nature reviews. Neurology · 2026Review
- Smouldering disease in paediatric-onset multiple sclerosis.EBioMedicine · 2025Review
- 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
- Pediatric Multiple Sclerosis: Changing the Trajectory of Progression.Current neurology and neuroscience reports · 2023Review
- Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies have suggested that paramagnetic rim lesions on 7-tesla (T) and 3-T susceptibility-based brain MRI are specific features of multiple sclerosis (MS) lesions in adults.
objectiveThe aim of this study was to investigate whether the presence of paramagnetic rim lesions on 1.5-T phase images can help discriminate pediatric patients with MS from those with other demyelinating diseases. MATERIALS AND
methodsIn this retrospective study we reviewed brain MRIs performed on 1.5-T scanners that included susceptibility-weighted imaging (SWI) sequences with phase images in children younger than 18 years diagnosed with MS and other acquired demyelinating syndromes. In each case, five white matter lesions were selected using T2/fluid-attenuated inversion recovery images for further paramagnetic rim evaluation on SWI. Two researchers performed independent assessments of the presence of paramagnetic rim lesions. Discrepancies between them were settled by consensus, with input from a senior neuroradiologist.
resultsWe included 13 children diagnosed with MS and 16 children diagnosed with non-MS demyelinating diseases and analyzed a total of 132 focal white matter lesions. Seventy-one percent of the lesions in the MS group had paramagnetic rims, while none of the lesions in the non-MS group had rims. All but one of the children with MS had at least one lesion with a paramagnetic rim. The presence of one lesion with a paramagnetic rim on 1.5-T phase-contrast images resulted in 70% sensitivity and 100% specificity for MS.
conclusionParamagnetic rim lesions detected on 1.5-T phase-contrast MR images can help discriminate MS from other acquired demyelinating syndromes in the pediatric population.
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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.