ReviewBrain : a journal of neurology2021
Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.
Review in Brain : a journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 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
119 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
- Causal connectivity maps derived from single-pulse interleaved TMS/fMRI.Scientific reports · 2026Trial
- Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding.Magnetic resonance in medicine · 2026Article
- Simultaneous TMagnetic resonance in medicine · 2026Article
- T1 mapping in Alzheimer's disease: a quantitative MRI study with amyloid-PET correlation.European radiology experimental · 2026Article
- Targeting progressive multiple sclerosis: Toward mechanism-informed precision medicine.Journal of internal medicine · 2026Review
- Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI.Magnetic resonance in medicine · 2026Article
- Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease.Annals of clinical and translational neurology · 2026Article
- A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.Journal of magnetic resonance imaging : JMRI · 2026Article
- Depression as a Disease of White Matter Network Disruption: Learning From Multiple Sclerosis.Biological psychiatry · 2026Review
- Big data in multiple sclerosis.Current opinion in neurology · 2026Review
- Multiplexed magnetic resonance imaging.Nature · 2026Article
- Influence of image preprocessing on reproducibility and longitudinal repeatability analysis of radiomics features in magnetic resonance image-guided accelerator imaging.Quantitative imaging in medicine and surgery · 2026Article
- Insights From Quantitative Susceptibility Mapping: An Umbrella Review of Multiple Sclerosis.Health science reports · 2026Review
- Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mapping heterogeneous region- and tissue-specific brain ageing patterns using quantitative MRI.Brain communications · 2026Article
- Microstructure-informed deep learning improves thalamic atrophy segmentation and clinical associations in multiple sclerosis and related neuroimmunological diseases.NeuroImage. Clinical · 2026Article
- 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
- Investigating the association between grey matter hypoperfusion and atrophy in multiple sclerosis using arterial spin labelling.Brain communications · 2026Article
- Translational molecular imaging and drug development in multiple sclerosis.Theranostics · 2026Review
59 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
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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.