The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Magnetic Resonance Imaging Signal Hyperintensities in the Deep and Subcortical White Matter: A Comparative Study Between Stroke Patients and Normal Volunteers
Abstract
Mixed population studies suggest a relationship between deep and subcortical white matter hyperintensities on magnetic resonance imaging and cerebrovascular disease. To further clarify this issue we compared the prevalence and extent of such signal abnormalities between a group of 133 consecutive stroke patients (mean age, 54.7 +/- 16.7 years) and 101 normal volunteers (mean age, 54.7 +/- 13.1 years). Diabetes and cardiac disease were significantly more common in patients than in normal subjects. Prevalence rates of clinically silent lesions were 44% and 47.5%, respectively. Beginning confluent and confluent foci were seen in 19.5% of patients, but in only 7.5% of normal subjects. Significant univariate correlations were found for the presence and extent of lesions with age, diabetes, cardiac disease, severity of extracranial carotid arteriosclerosis, and arterial hypertension, but not with the diagnosis of stroke or the type of brain infarction. Multivariate regression analysis established age and diabetes mellitus as the only independent predictors of white matter damage. We conclude that more extensive white matter abnormalities in stroke patients stem from their higher rate of cerebrovascular risk factors but are unrelated to the occurrence of ischemic attacks per se.
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Citations
Cites
Awad, I. A., Johnson, P. C., Spetzler, R. F., & Hodak, J. A. (1986) · Stroke · doi:10.1161/01.str.17.6.1090 · Cited by 572
Cited by
Risk of dementia in diabetes mellitus: a systematic review
Biessels, G. J., Staekenborg, S., Brunner, E., Brayne, C., & Scheltens, P. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70284-2 · Cited by 2,187
de Leeuw, F.-E. (2001) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.70.1.9 · Cited by 1,291
Classification of white matter lesions on magnetic resonance imaging in elderly persons
Kim, K. W., MacFall, J. R., & Payne, M. E. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.024 · Cited by 539
Pantoni, L., & Garcia, J. H. (1995) · Stroke · doi:10.1161/01.str.26.7.1293 · Cited by 538
Smith, E. E., Saposnik, G., Biessels, G. J., Doubal, F. N., Fornage, M., Gorelick, P. B., Greenberg, S. M., Higashida, R. T., Kasner, S. E., & Seshadri, S. (2017) · Stroke · doi:10.1161/str.0000000000000116 · Cited by 404
Metadata
- Authors
- Schmidt, R.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 1992-08-01
- Volume
- 49
- Issue
- 8
- Pages
- 825
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2091019393
- Cited by
- 245
- References
- 1
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Magnetic Resonance Imaging Signal Hyperintensities in the Deep and Subcortical White Matter: A Comparative Study Between Stroke Patients and Normal Volunteers. https://app.cochat.ai/papers/10.1001/archneur.1992.00530320049011
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- Schmidt, R. (1992). Magnetic Resonance Imaging Signal Hyperintensities in the Deep and Subcortical White Matter: A Comparative Study Between Stroke Patients and Normal Volunteers. Archives of Neurology. https://doi.org/10.1001/archneur.1992.00530320049011
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.