ReviewCold Spring Harbor perspectives in medicine2018
Magnetic Resonance Imaging in Multiple Sclerosis.
Review in Cold Spring Harbor perspectives in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses 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
69 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pulmonary amyloidosis, gastric MALT lymphoma, and multiple sclerosis in a patient with Sjögren's disease: a case report and review of the literature.Rheumatology international · 2026Pooled it
- The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Disease-modifying therapies and T1 hypointense lesions in patients with multiple sclerosis: A systematic review and meta-analysis.CNS neuroscience & therapeutics · 2022Pooled it
- Cerebral and spinal cord changes observed through magnetic resonance imaging in patients with HTLV-1-associated myelopathy/tropical spastic paraparesis: a systematic review.Journal of neurovirology · 2022Pooled it
- Pharmacokinetics and safety of gadopiclenol in Japanese healthy volunteers.Japanese journal of radiology · 2025Trial
- AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan.Journal of magnetic resonance imaging : JMRI · 2026Article
- MRI Correlates of Depression and Anxiety in Multiple Sclerosis.Diseases (Basel, Switzerland) · 2026Review
- Identification of diagnostic biomarkers for relapsing-remitting multiple sclerosis in plasma by mass spectrometry-based proteomics.Journal of neuropathology and experimental neurology · 2026Article
- Diagnostic and Prognostic Value of Epigenetic Markers in Neurological Diseases. A Narrative Review.Cellular and molecular neurobiology · 2026Review
- Bruton's Tyrosine Kinase Inhibitors in Multiple Sclerosis: Mechanistic Considerations Across Relapsing and Progressive Disease.Molecules (Basel, Switzerland) · 2026Review
- Serum GFAP and NfL augment a metabolomics-driven strategy for long-term prediction of multiple sclerosis progression.Communications medicine · 2026Article
- AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) - a Comprehensive Multiparametric Neurological Protocol from a Single MRI Scan.medRxiv : the preprint server for health sciences · 2026Article
- Instance-level quantitative saliency in multiple sclerosis lesion segmentation.Scientific reports · 2026Article
- Deep learning in imaging analysis for multiple sclerosis: Diagnosis and monitoring.Caspian journal of internal medicine · 2026Review
- Moderating effects of limbic white matter on verbal memory in older adults with multiple sclerosis.Neuropsychology · 2026Article
- A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.NeuroImage. Clinical · 2026Article
- Harmonized magnetic resonance imaging protocols for multiple sclerosis: HARMONY-MS, a pilot project.Journal of neurology · 2025Observational
- The Serum Lipid Profile of Relapsing Multiple Sclerosis Differs Reproducibly From Healthy Controls.Journal of neurochemistry · 2025Article
- Article
- Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.ArXiv · 2025Article
9 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since its technical development in the early 1980s, magnetic resonance imaging (MRI) has quickly been adopted as an essential tool in supporting the diagnosis, longitudinal monitoring, evaluation of therapeutic response, and scientific investigations in multiple sclerosis (MS). The clinical usage of MRI has increased in parallel with technical innovations in the technique itself; the widespread adoption of clinically routine MRI at 1.5T has allowed sensitive qualitative and quantitative assessments of macroscopic central nervous system (CNS) inflammatory demyelinating lesions and tissue atrophy. However, conventional MRI lesion measures lack specificity for the underlying MS pathology and only weakly correlate with clinical status. Higher field strength units and newer, advanced MRI techniques offer increased sensitivity and specificity in the detection of disease activity and disease severity. This review summarizes the current status and future prospects regarding the role of MRI in the characterization of MS-related brain and spinal cord involvement.
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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.