The DOI matches its Crossref record; 131 of the 132 references it cites were found in a registry or an index.
Spinal cord MRI in multiple sclerosis—diagnostic, prognostic and clinical value
Abstract
Multiple sclerosis (MS) is an inflammatory disorder of the CNS that affects both the brain and the spinal cord. MRI studies in MS focus more often on the brain than on the spinal cord, owing to the technical challenges in imaging this smaller, mobile structure. However, spinal cord abnormalities at disease onset have important implications for diagnosis and prognosis. Furthermore, later in the disease course, in progressive MS, myelopathy becomes the primary characteristic of the clinical presentation, and extensive spinal cord pathology--including atrophy, diffuse abnormalities and numerous focal lesions--is common. Recent spinal cord imaging studies have employed increasingly sophisticated techniques to improve detection and quantification of spinal cord lesions, and to elucidate their relationship with physical disability. Quantitative MRI measures of cord size and tissue integrity could be more sensitive to the axonal loss and other pathological processes in the spinal cord than is conventional MRI, putting quantitative MRI in a key role to elucidate the association between disability and spinal cord abnormalities seen in people with MS. In this Review, we summarize the most recent MS spinal cord imaging studies and discuss the new insights they have provided into the mechanisms of neurological impairment. Finally, we suggest directions for further and future research.
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“Conventional magnetic resonance imaging (MRI) of the multiple sclerosis spinal cord is limited by low specificity regarding the underlying pathological processes”
From Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? (2017) · cites this paper as [12]
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Reich, D. S., Lucchinetti, C. F., & Calabresi, P. A. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1401483 · Cited by 2,491
Wattjes, M. P., Ciccarelli, O., Reich, D. S., Banwell, B., de Stefano, N., Enzinger, C., Fazekas, F., Filippi, M., Frederiksen, J., Gasperini, C., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00095-8 · Cited by 674
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Epidemiology and treatment of multiple sclerosis in elderly populations
Vaughn, C. B., Jakimovski, D., Kavak, K. S., Ramanathan, M. K., Benedict, R. H. B., Zivadinov, R., & Weinstock‐Guttman, B. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0183-3 · Cited by 320
Metadata
- Authors
- Kearney, H., Miller, D. H., & Ciccarelli, O.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- Corresponding author
- Kearney, Hugh
- Venue
- Nature Reviews Neurology
- Published
- 2015-05-26
- Volume
- 11
- Issue
- 6
- Pages
- 327-338
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- OpenAlex
- W1577466874
- Cited by
- 235
- References
- 132
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 30 · 2023: 20 · 2022: 19 · 2021: 21 · 2020: 18 · 2019: 31 · 2018: 22 · 2017: 19 · 2016: 21 · 2015: 2
- FWCI
- 3.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Queen Mary University of London
- National Institute for Health and Care Research (NF-SI-0508-10058)
- Multiple Sclerosis Society
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- multiple sclerosis, spinal cord MRI, spinal cord lesions, quantitative MRI, disability, myelopathy, spinal cord atrophy, axonal loss, progressive multiple sclerosis
- MeSH terms
- Humans, Magnetic Resonance Imaging, Multiple Sclerosis, Neuromyelitis Optica, Prognosis, Spinal Cord, Disease Progression, Gray Matter
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