ReviewNMR in biomedicine2016
Sodium MRI of multiple sclerosis.
Review in NMR in biomedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Variability by region and method in human brain sodium concentrations estimated byScientific reports · 2023Pooled it
- First In VivoMagnetic resonance in medicine · 2026Article
- Relationship between sodium and diffusion MRI metrics in multiple sclerosis.Brain communications · 2025Article
- Development of an Add-onMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023Article
- A uniformity correction method to reduce scan time for 7T sodium imaging of brain tumors.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Potential Biomarkers Associated with Multiple Sclerosis Pathology.International journal of molecular sciences · 2021Review
- Skin sodium is increased in male patients with multiple sclerosis and related animal models.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis.Brain sciences · 2021Review
- Conductivity Tensor Imaging of the Human Brain Using Water Mapping Techniques.Frontiers in neuroscience · 2021Article
- Cerebral sodium (European radiology · 2019Article
- Cortical grey matter sodium accumulation is associated with disability and secondary progressive disease course in relapse-onset multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2019Article
- Potential of Sodium MRI as a Biomarker for Neurodegeneration and Neuroinflammation in Multiple Sclerosis.Frontiers in neurology · 2019Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Multiple sclerosis (MS) is the most common cause of non-traumatic disability in young adults. The mechanisms underlying neurodegeneration and disease progression are poorly understood, in part as a result of the lack of non-invasive methods to measure and monitor neurodegeneration in vivo. Sodium MRI is a topic of increasing interest in MS research as it allows the metabolic characterization of brain tissue in vivo, and integration with the structural information provided by (1)H MRI, helping in the exploration of pathogenetic mechanisms and possibly offering insights into disease progression and monitoring of treatment outcomes. We present an up-to-date review of the sodium MRI application in MS organized into four main sections: (i) biological and pathogenetic role of sodium; (ii) brief overview of sodium imaging techniques; (iii) results of sodium MRI application in clinical studies; and (iv) future perspectives.
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.