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Evaluation of cerebrovascular spasm with transcranial Doppler ultrasound
Abstract
✓ The use of an ultrasonic transcranial Doppler technique for noninvasive evalution of cerebral vasospasm is described. Middle cerebral arteries (MCA's), classified as spastic on angiography, demonstrated blood-flow velocity between 120 and 230 cm/sec. The flow velocities in these arteries had a clear inverse relationship to the diameter as measured from angiograms in 38 patients with recent subarachnoid hemorrhage. This relationship in the proximal anterior cerebral artery (ACA) was found to be more complicated to assess, due to the collateral channels in the anterior part of the circle of Willis. The authors conclude, however, that the new method of measuring vasospasm will also detect spasm in the ACA if it has a hemodynamically significant effect upon flow resistance.
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Citations
Cited by
Anatomy and Functionality of Leptomeningeal Anastomoses: A Review
Brozici, M., van der Zwan, A., & Hillen, B. (2003) · Stroke · doi:10.1161/01.str.0000095791.85737.65 · Cited by 249
Oertel, M., Boscardin, W. J., Obrist, W. D., Glenn, T. C., McArthur, D. L., Gravori, T., Lee, J. H., & Martin, N. A. (2005) · Journal of Neurosurgery · doi:10.3171/jns.2005.103.5.0812 · Cited by 227
Measurement of arterial blood flow by Doppler ultrasound
Hoskins, P. R. (1990) · Clinical Physics and Physiological Measurement · doi:10.1088/0143-0815/11/1/001 · Cited by 109
Metadata
- Authors
- Aaslid, R., Huber, P., & Nornes, H.
- Venue
- Journal of Neurosurgery
- Published
- 1984-01
- Volume
- 60
- Issue
- 1
- Pages
- 37-41
- ISSN
- 0022-3085 (ISSN-L)
- OpenAlex
- W2141003920
- Cited by
- 681
- References
- 0
- FWCI
- 17.49
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
