The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Differentiation of Multiple Sclerosis from Other Inflammatory Disorders and Cerebrovascular Disease: Value of Spinal MR Imaging
Abstract
Purpose To determine the value of magnetic resonance (MR) imaging in the spinal cord to differentiate multiple sclerosis (MS) from other inflammatory disorders and cerebrovascular diseases (together, other neurologic disease [OND]). Materials and methods The study population included 66 patients with OND and 25 patients with MS, who were matched for age, sex, and symptom duration or severity. Brain MR imaging included gadolinium-enhanced T1-weighted and dual-echo T2-weighted spin-echo sequences to assess the number, size, and appearance of lesions, contrast enhancement, and compatibility with diagnostic criteria for MS. Spinal cord MR imaging included cardiac-triggered gadolinium-enhanced sagittal T1-weighted spin-echo and dual-echo T2-weighted sequences to assess the general appearance (normal, focal lesion, diffuse abnormality) and number or size of focal lesions. Images obtained in MS and OND patients were compared. Specificity, sensitivity, accuracy, and positive and negative predictive values with MR images were calculated. Results Brain images were abnormal in all MS patients and in 65% of OND patients. Abnormal cord images were found in 92% of MS and 6% of OND patients. The combination of brain and spinal cord images increased accuracy of diagnosis compared with use of brain images alone. Conclusion In contrast to MS, cord lesions are very uncommon in OND. This finding can help differentiate these disorders.
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“Spinal cord lesions occur in 80-90% of patients with established MS and up to half of patients with CIS, most often in the cervical cord.10,11”
From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [11]
In the citing paper
“In this situation a stringent interpretation of brain MRI criteria for MS is mandatory and spinal cord MRI is helpful since spinal cord lesions do not occur with healthy aging.11”
From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [11]
In the citing paper
“However, spinal cord lesions can be very helpful in making a diagnosis of MS (cord lesions do not occur with healthy aging or cerebrovascular disease 11 and provide additional evidence of dissemination in space 10 ) and may provide important prognostic information.67”
From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [11]
Citations
Cites
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
The 1982 revised criteria for the classification of systemic lupus erythematosus
Tan, E. M., Cohen, A. S., Fries, J. F., Masi, A. T., Mcshane, D. J., Rothfield, N. F., Schaller, J. G., Talal, N., & Winchester, R. J. (1982) · Arthritis & Rheumatism · doi:10.1002/art.1780251101 · Cited by 14,519
New diagnostic criteria for multiple sclerosis: Guidelines for research protocols
Poser, C. M., Paty, D. W., Scheinberg, L., McDonald, W. I., Davis, F. A., Ebers, G. C., Johnson, K. P., Sibley, W. A., Silberberg, D. H., & Tourtellotte, W. W. (1983) · Annals of Neurology · doi:10.1002/ana.410130302 · Cited by 7,384
Plasma homocysteine as a risk factor for vascular disease. The European Concerted Action Project.
Graham, I. M., Daly, L. E., Refsum, H. M., Robinson, K., Brattström, L. E., Ueland, P. M., Palma-Reis, R. J., Boers, G. H., Sheahan, R. G., Israelsson, B., et al. (1997) · PubMed · doi:10.1001/jama.1997.03540460039030 · Cited by 1,738
Vitali, C., Bombardieri, S., Moutsopoulos, H. Μ., Balestrieri, G., Bencivelli, W., Bernstein, R. M., Bjerrum, K. B., Braga, S., Coll, J., Vita, S. D., et al. (1993) · Arthritis & Rheumatism · doi:10.1002/art.1780360309 · Cited by 1,430
Barkhof, F. (1997) · Brain · doi:10.1093/brain/120.11.2059 · Cited by 1,251
Self-citationBloch-Michel, E., & Nussenblatt, R. B. (1987) · American Journal of Ophthalmology · doi:10.1016/s0002-9394(14)74235-7 · Cited by 731
Rapid high-performance liquid chromatographic assay for total homocysteine levels in human serum
Ubbink, J., Vermaak, W. J. H., & Bissbort, S. (1991) · Journal of Chromatography B Biomedical Sciences and Applications · doi:10.1016/0378-4347(91)80407-4 · Cited by 670
Paty, D. W., Oger, J. J.-F., Kastrukoff, L. F., Hashimoto, S. A., Hooge, J. P., Eisen, A., Eisen, K., Purves, S., Low, M. D., Brandejs, V., et al. (1988) · Neurology · doi:10.1212/wnl.38.2.180 · Cited by 635
THE ROLE OF NMR IMAGING IN THE ASSESSMENT OF MULTIPLE SCLEROSIS AND ISOLATED NEUROLOGICAL LESIONS
Ormerod, I. E., Miller, D. H., McDonald, W. I., BOULAY, E. P. G. H. D., Rudge, P., Kendall, B. E., MOSELEY, I. F., Johnson, G., Tofts, P. S., Halliday, A. M., et al. (1987) · Brain · doi:10.1093/brain/110.6.1579 · Cited by 468
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Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”
Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H., Kappos, L., Lublin, F. D., Metz, L. M., McFarland, H. F., O'Connor, P. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20703 · Cited by 5,017
Self-citationDiagnosis of multiple sclerosis: progress and challenges
Brownlee, W. J., Hardy, T. A., Fazekas, F., & Miller, D. H. (2017) · The Lancet · doi:10.1016/s0140-6736(16)30959-x · Cited by 701
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
Self-citationPatterns of Contrast Enhancement in the Brain and Meninges
Smirniotopoulos, J. G., Murphy, F. M., Rushing, E. J., Rees, J., & Schroeder, J. W. (2007) · Radiographics · doi:10.1148/rg.272065155 · Cited by 503
Association between pathological and MRI findings in multiple sclerosis
Filippi, M., Rocca, M. A., Barkhof, F., Brück, W., Chen, J. T., Comı, G., DeLuca, G. C., Stefano, N. D., Erickson, B. J., Evangelou, N., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70003-0 · Cited by 499
Self-citation
Metadata
- Authors
- Bot, J. C. J., Barkhof, F., à Nijeholt, G. L., van Schaardenburg, D., Voskuyl, A. E., Ader, H. J., Pijnenburg, J. A. L., Polman, C. H., Uitdehaag, B. M. J., Vermeulen, E. G. J., & Castelijns, J. A.
- Affiliations
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Vrije Universiteit Amsterdam (NL)
- Neurology, Inc (US)
- ORCID
- Venue
- Radiology
- Published
- 2002-04
- Volume
- 223
- Issue
- 1
- Pages
- 46-56
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2092959805
- Cited by
- 168
- References
- 57
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 1 · 2023: 2 · 2022: 5 · 2021: 6 · 2020: 4 · 2019: 5 · 2018: 7 · 2017: 5 · 2016: 11 · 2015: 11 · 2014: 10 · 2013: 8 · 2012: 13
- FWCI
- 3.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Infectious Diseases › Infectious Diseases and Tuberculosis
- Keywords
- multiple sclerosis, spinal cord lesions, differential diagnosis, cerebrovascular disease, gadolinium-enhanced MRI, brain MRI, diagnostic accuracy, spinal cord MRI
- MeSH terms
- Adult, Cerebrovascular Disorders, Diagnosis, Differential, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis, Myelitis, Sensitivity and Specificity
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