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Brain biopsy in primary angiitis of the central nervous system
Abstract
To determine the yield of brain biopsy and the predictive value of clinical features and ancillary studies, we retrospectively analyzed hospital chart data from 61 consecutive patients suspected of having primary angiitis of the CNS (PACNS). Biopsies disclosed PACNS in 22 (36%), alternative diagnoses in 24 (39%), and no diagnosis in 15 (25%). Clinical indicators and angiography were not useful predictors of PACNS. Brain biopsy should be the primary diagnostic tool in this setting because of the poor reliability of other indicators and because of the high yield of alternative diagnoses requiring different management.
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Citations
Cited by
Primary Angiitis of the Central Nervous System
Birnbaum, J., & Hellmann, D. B. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.76 · Cited by 438
Scolding, N. J. (2005) · Brain · doi:10.1093/brain/awh379 · Cited by 372
Hajj-Ali, R. A., Singhal, A. B., Benseler, S., Molloy, E., & Calabrese, L. H. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70081-3 · Cited by 323
Primary angiitis of the central nervous system
Molloy, E. S., & Hajj-Ali, R. A. (2007) · Current Treatment Options in Neurology · doi:10.1007/bf02938406 · Cited by 39
Metadata
- Authors
- Alrawi, A., Trobe, J. D., Blaivas, M., & Musch, D. C.
- Venue
- Neurology
- Published
- 1999-09
- Volume
- 53
- Issue
- 4
- Pages
- 858-858
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2075956197
- Cited by
- 272
- References
- 0
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Brain biopsy in primary angiitis of the central nervous system. https://app.cochat.ai/papers/10.1212/wnl.53.4.858
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- Alrawi, A., Trobe, J. D., Blaivas, M., & Musch, D. C. (1999). Brain biopsy in primary angiitis of the central nervous system. Neurology. https://doi.org/10.1212/wnl.53.4.858
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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.