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Spinal cord MRI using multi‐array coils and fast spin echo: II. Findings in multiple sclerosis

Kidd, D., Thorpe, J. W., Thompson, A. J., Kendall, B. E., Moseley, I. F., MacManus, D. G., McDonald, W. I., Miller, D. H.·1993·Neurology

Abstract

We performed MRI of brain and spinal cord on 80 patients with multiple sclerosis (MS). Using multi-array coils and fast spin echo, 139 intrinsic lesions were identified in 59 patients (74%). Lesions were more common in the cervical than in the thoracic cord. Cross-sectional areas of the cord, measured from axial images at four levels, showed atrophy in 40%. Clinical disability correlated with cord atrophy but not with cord lesion load. These results show that the use of multi-array coils and fast spin echo allows rapid and sensitive detection of spinal cord lesions in MS and that the cord is involved in the majority of patients. A lack of association between cord lesions and disability may relate to limitations in MR resolution but also suggests that the mechanisms of disability in MS are complex and multifactorial.

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Metadata

Authors
Kidd, D., Thorpe, J. W., Thompson, A. J., Kendall, B. E., Moseley, I. F., MacManus, D. G., McDonald, W. I., & Miller, D. H.
Venue
Neurology
Published
1993-12
Volume
43
Issue
12
Pages
2632-2632
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W1982425966
Cited by
340
References
0
FWCI
12.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spinal cord MRI using multi‐array coils and fast spin echo: II. Findings in multiple sclerosis. https://app.cochat.ai/papers/10.1212/wnl.43.12.2632
The paper
Kidd, D., Thorpe, J. W., Thompson, A. J., Kendall, B. E., Moseley, I. F., MacManus, D. G., McDonald, W. I., & Miller, D. H. (1993). Spinal cord MRI using multi‐array coils and fast spin echo: II. Findings in multiple sclerosis. Neurology. https://doi.org/10.1212/wnl.43.12.2632

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.