ArticleAJNR. American journal of neuroradiology2017
Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis.
Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.
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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
31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Putamen iron quantification in diseases with neurodegeneration: a meta-analysis of the quantitative susceptibility mapping technique.Brain imaging and behavior · 2024Pooled it
- Quantitative Susceptibility Mapping Values Quantification in Deep Gray Matter Structures for Relapsing-Remitting Multiple Sclerosis: A Systematic Review and Meta-Analysis.Brain and behavior · 2024Pooled it
- Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis.NeuroImage. Clinical · 2024Pooled it
- Predictors of multiple sclerosis progression: A systematic review of conventional magnetic resonance imaging studies.PloS one · 2024Pooled it
- The effect of ibudilast on thalamic volume in progressive multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Trial
- Insights From Quantitative Susceptibility Mapping: An Umbrella Review of Multiple Sclerosis.Health science reports · 2026Review
- Heterogeneous Deep Gray Matter Iron Deposition Patterns across Multiple Sclerosis Subgroups Defined by the Clinico-Radiological Paradox.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Quantitative Susceptibility Mapping of Deep Grey Matter in MS: Association With Clinical Scores and Brain Volume Measures.Brain and behavior · 2025Article
- Imaging of Cerebral Iron as an Emerging Marker for Brain Aging, Neurodegeneration, and Cerebrovascular Diseases.Brain sciences · 2025Review
- Inflammation alters myeloid cell and oligodendroglial iron-handling in multiple sclerosis.Acta neuropathologica communications · 2025Article
- Thalamic iron in multiple sclerosis: Waning support for the early-rise late-decline hypothesis.NeuroImage. Clinical · 2025Article
- Impact of processing and analysis methodology on thalamic susceptibility assessment in multiple sclerosis.PloS one · 2025Article
- A systematic literature review of the association between global brain atrophy and the Expanded Disability Status Scale score in people with multiple sclerosis.Therapeutic advances in neurological disorders · 2025Review
- 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
- Regional cortical thinning, demyelination and iron loss in cerebral small vessel disease.Brain : a journal of neurology · 2023Article
- CSF Markers of Oxidative Stress Are Associated with Brain Atrophy and Iron Accumulation in a 2-Year Longitudinal Cohort of Early MS.International journal of molecular sciences · 2023Article
- Recent progress in epidemiology, clinical features, and therapy of multiple sclerosis in China.Therapeutic advances in neurological disorders · 2023Review
- Magnetic Resonance Imaging in Primary Progressive Multiple Sclerosis Patients : Review.Clinical neuroradiology · 2022Review
- Oxidative Stress Markers in Cerebrospinal Fluid of Newly Diagnosed Multiple Sclerosis Patients and Their Link to Iron Deposition and Atrophy.Diagnostics (Basel, Switzerland) · 2022Article
- Cerebral Iron Deposition in Neurodegeneration.Biomolecules · 2022Review
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposePotential differences between primary progressive and relapsing remitting multiple sclerosis are the subject of ongoing controversial discussions. The aim of this work was to determine whether and how primary-progressive and relapsing-remitting multiple sclerosis subtypes differ regarding conventional MR imaging parameters, cerebral iron deposits, and their association with clinical status. MATERIALS AND
methodsWe analyzed 24 patients with primary-progressive MS, 80 with relapsing-remitting MS, and 20 healthy controls with 1.5T MR imaging for assessment of the conventional quantitative parameters: T2 lesion load, T1 lesion load, brain parenchymal fraction, and corpus callosum volume. Quantitative susceptibility mapping was performed to estimate iron concentration in the deep gray matter.
resultsDecreased susceptibility within the thalamus in relapsing-remitting MS compared with primary-progressive MS was the only significant MR imaging difference between these MS subtypes. In the relapsing-remitting MS subgroup, the Expanded Disability Status Scale score was positively associated with conventional parameters reflecting white matter lesions and brain atrophy and with iron in the putamen and caudate nucleus. A positive association with putaminal iron and the Expanded Disability Status Scale score was found in primary-progressive MS.
conclusionsSusceptibility in the thalamus might provide additional support for the differentiation between primary-progressive and relapsing-remitting MS. That the Expanded Disability Status Scale score was associated with conventional MR imaging parameters and iron concentrations in several deep gray matter regions in relapsing-remitting MS, while only a weak association with putaminal iron was observed in primary-progressive MS suggests different driving forces of disability in these MS subtypes.
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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.