ArticleRadiology2014
Quantitative susceptibility mapping of multiple sclerosis lesions at various ages.
Article in Radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 1 of them a synthesis that pooled it.
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Who cites it
137 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
- Brain oxygen extraction fraction mapping in patients with multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Trial
- Patterning Chronic Active Demyelination in Slowly Expanding/Evolving White Matter MS Lesions.AJNR. American journal of neuroradiology · 2020Trial
- Reduced Paramagnetic Rim Visibility Signals Lesion Aging and Tissue Degeneration in Progressive Multiple Sclerosis: Impact on Clinical Trials.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
- Reducing Variability in Deep Gray Matter QSM Using Differential ROI Referencing: A Phantom and In Vivo Evaluation.NMR in biomedicine · 2026Article
- Exploring and Targeting the Connection of Iron and Copper Homeostasis to Neurodegenerative Diseases.MedComm · 2026Review
- Detecting early brain susceptibility changes before demyelination in cuprizone mouse model using quantitative susceptibility mapping (QSM).NeuroImage · 2026Article
- Motion-robust myelin imaging in MRI using 1D projection gating.Scientific reports · 2026Article
- Motion-Robust Direct Myelin Imaging in MRI using Self-Gating.Research square · 2025Article
- Article
- Neurodegeneration correlates of iron-related lesions and leptomeningeal inflammation in multiple sclerosis clinical subtypes.Neuroradiology · 2025Article
- Paramagnetic rim lesion formation is predicted by the initial gadolinium-enhancing lesion diameter.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Identifying Biomarkers for Remyelination and Recovery in Multiple Sclerosis: A Measure of Progress.Biomedicines · 2025Review
- Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei.Frontiers in neuroscience · 2025Article
- ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping.Machine learning in clinical neuroimaging : 7th international workshop, MLCN 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, proceedings. MLCN (Workshop) (7th : 2024 : Marrakesh, Morocco) · 2025Article
- Spatially resolved gene signatures of white matter lesion progression in multiple sclerosis.Nature neuroscience · 2024Article
- Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- 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
77 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
purposeTo assess multiple sclerosis (MS) lesions at various ages by using quantitative susceptibility mapping (QSM) and conventional magnetic resonance (MR) imaging. MATERIALS AND
methodsRetrospectively selected were 32 clinically confirmed MS patients (nine men and 23 women; 39.3 years ± 10.9) who underwent two MR examinations (interval, 0.43 years ± 0.16) with three-dimensional gradient-echo sequence from August 2011 to August 2012. To estimate the ages of MS lesions, MR examinations performed 0.3-10.6 years before study examinations were studied. Hyperintensity on T2-weighted images was used to define MS lesions. QSM images were reconstructed from gradient-echo data. Susceptibility of MS lesions and temporal rates of change were obtained from QSM images. Lesion susceptibilities were analyzed by t test with intracluster correlation adjustment and Bonferroni correction in multiple comparisons.
resultsMR imaging of 32 patients depicted 598 MS lesions, of which 162 lesions (27.1%) in 23 patients were age measurable and six (1.0%) were only visible at QSM. The susceptibilities relative to normal-appearing white matter (NAWM) were 0.53 ppb ± 3.34 for acute enhanced lesions, 38.43 ppb ± 13.0 (positive; P < .01) for early to intermediately aged nonenhanced lesions, and 4.67 ppb ± 3.18 for chronic nonenhanced lesions. Temporal rates of susceptibility changes relative to cerebrospinal fluid were 12.49 ppb/month ± 3.15 for acute enhanced lesions, 1.27 ppb/month ± 2.31 for early to intermediately aged nonenhanced lesions, and -0.004 ppb/month ± 0 for chronic nonenhanced lesions.
conclusionMagnetic susceptibility of MS lesions increased rapidly as it changed from enhanced to nonenhanced, it attained a high susceptibility value relative to NAWM during its initial few years (approximately 4 years), and it gradually dissipated back to susceptibility similar to that of NAWM as it aged, which may provide new insight into pathophysiologic features of MS lesions. Online supplemental material is available for this article.
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