ReviewBrain sciences2020
Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future.
Review in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 21 citations in OpenAlex.
- Spinal cord imaging in multiple sclerosis: from diagnosis to disease progression.Journal of neurology · 2026Review
- Clinical and MRI features contributing to the clinico-radiological dissociation in a large cohort of people with multiple sclerosis.Journal of neurology · 2025Article
- Super-Resolution in Clinically Available Spinal Cord MRIs Enables Automated Atrophy Analysis.AJNR. American journal of neuroradiology · 2025Article
- Ultrashort Echo Time and Zero Echo Time MRI and Their Applications at High Magnetic Fields: A Literature Survey.Investigative magnetic resonance imaging · 2024Article
- Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.Brain communications · 2024Review
- Improved detection of multiple sclerosis lesions with T2-prepared double inversion recovery at 3T.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Improving cervical spinal cord lesion detection in multiple sclerosis using filtered fused proton density-T2 weighted images.Acta radiologica open · 2022Article
- Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions.NeuroImage. Clinical · 2022Review
- Functional connectivity in the dorsal network of the cervical spinal cord is correlated with diffusion tensor imaging indices in relapsing-remitting multiple sclerosis.NeuroImage. Clinical · 2022Article
- MRI of the Entire Spinal Cord-Worth the While or Waste of Time? A Retrospective Study of 74 Patients with Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2021Article
- Magnetization Transfer Ratio in the Typically Developing Pediatric Spinal Cord: Normative Data and Age Correlation.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord imaging in multiple sclerosis (MS) plays a significant role in diagnosing and tracking disease progression. The spinal cord is one of four key areas of the central nervous system where documenting the dissemination in space in the McDonald criteria for diagnosing MS. Spinal cord lesion load and the severity of cord atrophy are believed to be more relevant to disability than white matter lesions in the brain in different phenotypes of MS. Axonal loss contributes to spinal cord atrophy in MS and its degree correlates with disease severity and prognosis. Therefore, measures of axonal loss are often reliable biomarkers for monitoring disease progression. With recent technical advances, more and more qualitative and quantitative MRI techniques have been investigated in an attempt to provide objective and reliable diagnostic and monitoring biomarkers in MS. In this article, we discuss the role of spinal cord imaging in the diagnosis and prognosis of MS and, additionally, we review various techniques that may improve our understanding of the disease.
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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.