ArticleAJNR. American journal of neuroradiology2019
Quantitative Susceptibility Mapping of Time-Dependent Susceptibility Changes in Multiple Sclerosis Lesions.
Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis.NeuroImage. Clinical · 2024Pooled it
- Reduced Paramagnetic Rim Visibility Signals Lesion Aging and Tissue Degeneration in Progressive Multiple Sclerosis: Impact on Clinical Trials.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
- Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis.Annals of clinical and translational neurology · 2026Article
- Treatment Effects on Chronic Active Lesions in Multiple Sclerosis: Current Evidence and Future Perspectives.Neurology and therapy · 2026Review
- Detecting early brain susceptibility changes before demyelination in cuprizone mouse model using quantitative susceptibility mapping (QSM).NeuroImage · 2026Article
- MRI Quantification of Liver Fibrosis Using Diamagnetic Susceptibility: An Ex Vivo Validation Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Article
- Spinal cord versus brain imaging biomarkers of multiple sclerosis trajectory combining 7T and 3T MRI.Brain communications · 2026Article
- Neurodegeneration correlates of iron-related lesions and leptomeningeal inflammation in multiple sclerosis clinical subtypes.Neuroradiology · 2025Article
- ISMRM Clinical Focus Meeting 2023: "Imaging the Fire in the Brain".Journal of magnetic resonance imaging : JMRI · 2025Article
- Paramagnetic rim lesion formation is predicted by the initial gadolinium-enhancing lesion diameter.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis.Frontiers in neuroscience · 2025Article
- Current challenges in secondary progressive multiple sclerosis: diagnosis, activity detection and treatment.Frontiers in immunology · 2025Review
- Paramagnetic rim lesions are highly specific for multiple sclerosis in real-world data.Brain communications · 2025Article
- Clinical relevance of paramagnetic rim lesion heterogeneity in multiple sclerosis.Annals of clinical and translational neurology · 2024Article
- Imaging chronic active lesions in multiple sclerosis: a consensus statement.Brain : a journal of neurology · 2024Review
- The changes of oxygen extraction fraction in different types of lesions in relapsing-remitting multiple sclerosis: A cross-sectional and longitudinal study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 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
- White matter paramagnetic rim and non-rim lesions share a periventricular gradient in multiple sclerosis: A 7-T imaging study.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Disease Modifying Strategies in Multiple Sclerosis: New Rays of Hope to Combat Disability?Current neuropharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
background and purposeMR imaging studies have demonstrated that magnetic susceptibility in multiple sclerosis lesions is dependent on lesion age. The objective of this study was to use quantitative susceptibility mapping to determine whether lesions with a hyperintense rim, indicative of iron-laden inflammatory cells (rim+), follow a unique time-dependent trajectory of susceptibility change compared with those without (rim-). MATERIALS AND
methodsWe studied patients with MS with at least 1 new gadolinium-enhancing lesion and at least 3 longitudinal quantitative susceptibility mapping scans obtained between 1.1 and 6.1 years. Lesions were classified as rim+ if a hyperintense rim appeared on quantitative susceptibility mapping at any time. A multilevel growth curve model compared longitudinal susceptibility among rim+ and rim- lesions.
resultsThirty-two new gadolinium-enhancing lesions from 19 patients with MS were included, and 16 lesions (50%) were identified as rim+. Quantitative susceptibility mapping rim+ lesions were larger than rim- lesions with gadolinium enhancement (
conclusionsThere was a marked difference in the susceptibility temporal trajectory between rim+ and rim- lesions during the first 6 years of lesion formation. Most rim+ lesions retain iron for years after the initial lesion appearance.
Indexed as
Identifiers
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.