The DOI matches its Crossref record.
CT visualization of intracranial arterial thromboembolism.
Open accessAbstract
Eight cases of presumed acute occlusion of intracranial arteries, 7 middle cerebral and 1 posterior cerebral, demonstrated the occluded artery as an abnormal high density structure on non-enhanced computed tomography. Three cases underwent subsequent angiography which confirmed the diagnosis. CT scanning is therefore able to visualize acute thromboembolism in the intracranial arteries. In the appropriate clinical setting of acute stroke, an artery visualized on non-contrast CT scan as diffuse high density and higher in density than other visualized vessels should be suspected as acutely occluded by clot.
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
Riedel, C. H., Zimmermann, P., Jensen-Kondering, U., Stingele, R., Deuschl, G., & Jansen, O. (2011) · Stroke · doi:10.1161/strokeaha.110.609693 · Cited by 572
Merino, J. G., & Warach, S. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.129 · Cited by 152
Metadata
- Authors
- Gács, G., Fox, A. J., Barnett, H. J., & Vinuela, F.
- Venue
- Stroke
- Published
- 1983-09
- Volume
- 14
- Issue
- 5
- Pages
- 756-762
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2039405783
- Cited by
- 196
- References
- 0
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CT visualization of intracranial arterial thromboembolism. https://app.cochat.ai/papers/10.1161/01.str.14.5.756
- The paper
- Gács, G., Fox, A. J., Barnett, H. J., & Vinuela, F. (1983). CT visualization of intracranial arterial thromboembolism. Stroke. https://doi.org/10.1161/01.str.14.5.756
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.
