The DOI matches its Crossref record.
Intracranial Cavernous Malformations
Abstract
Intracranial cavernous malformations are vascular anomalies consisting of endothelium-lined caverns filled with blood at various stages of thrombosis and organization and separated by a collagenous stroma devoid of mature vessel wall elements. They occur in an estimated 0.45 to 0.9% of the population, with male and female patients equally affected and all ages represented. They commonly manifest as seizures, gross intracranial hemorrhage, and focal neurological deficits. Lesions are frequently multiple in the same patient, and 10 to 30% are associated with familial clustering. Several reports have documented a dynamic clinical-radiological lesion behavior with de novo lesion genesis, intralesional and perilesional hemorrhage, and corresponding fluctuations in lesion size. Hemorrhagic risk and neurological disability seem to be related to multiple factors, including lesion location, age, gender, state of reproductive cycle, and previous hemorrhage. Lesions may behave aggressively with repetitive hemorrhages and cumulative disability or may remain quiescent for many years. Management strategies include expectant follow-up in patients with asymptomatic or inaccessible lesions, excision of symptomatic and accessible lesions, and radiosurgery of progressively symptomatic lesions in inoperable locations. Relevant disease-specific outcome parameters are proposed to guide clinical decisions and future research. Prospective, stratified, hypothesis-driven studies using rigorous epidemiological methods must be undertaken to delineate patient and lesion factors influencing clinical aggressiveness. Biological studies are essential to uncover strategies to predict and modify lesion behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Cerebral cavernous malformations: from CCM genes to endothelial cell homeostasis
Fischer, A., Zalvide, J., Faurobert, E., Albiges-Rizo, C., & Tournier-Lasserve, E. (2013) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2013.02.004 · Cited by 199
Clonal Expansion in Cardiovascular Pathology
Lin, A., Brittan, M., Baker, A. H., Dimmeler, S., Fisher, E. A., Sluimer, J. C., & Misra, A. (2024) · JACC: Basic to Translational Science · doi:10.1016/j.jacbts.2023.04.008 · Cited by 13
Metadata
- Authors
- Maraire, J. N., & Awad, I. A.
- Venue
- Neurosurgery
- Published
- 1995-10-01
- Volume
- 37
- Issue
- 4
- Pages
- 591-605
- ISSN
- 0148-396X (ISSN-L)
- 1524-4040
- OpenAlex
- W2045523777
- Cited by
- 360
- References
- 0
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.