Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 660

The DOI matches its Crossref record.

Cerebral Cavernous Malformations

Rigamonti, Daniele, Hadley, Mark N., Drayer, Burton P., Johnson, Peter C., Hoenig-Rigamonti, Karen, Knight, J. Thomas, Spetzler, Robert F.·1988·New England Journal of Medicine

Abstract

We studied 24 patients with histologically verified cerebral cavernous malformations, reviewing the familial occurrence and presenting signs, symptoms, and radiographic features of the disorder. Eleven patients had no evidence of a heritable trait and had negative family histories. Thirteen patients were members of six unrelated Mexican-American families. Sixty-four first-degree and second-degree relatives were examined, and family pedigrees were established. Most relatives (83 percent) were asymptomatic; 11 percent had seizures. Magnetic resonance imaging was performed in 16 relatives (5 of whom were asymptomatic). Fourteen of the 16 studies revealed cavernous malformations; 11 studies identified multiple lesions. As compared with computerized tomography and angiography, magnetic resonance imaging was far more accurate in detecting cavernous malformations. We conclude that cavernous malformations are more prevalent than previously reported, and that a familial form of the disorder exists that is more common than expected, with a high incidence of multiple lesions and an increased frequency of occurrence among Mexican-American families. Magnetic resonance imaging is the radiographic technique of choice for the identification and follow-up of these lesions.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejm198808113190605

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.

A few free checks a day · papers already verified open instantly · results are public

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

Metadata

Authors
Rigamonti, D., Hadley, M. N., Drayer, B. P., Johnson, P. C., Hoenig-Rigamonti, K., Knight, J. T., & Spetzler, R. F.
Venue
New England Journal of Medicine
Published
1988-08-11
Volume
319
Issue
6
Pages
343-347
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W3025310816
Cited by
660
References
0
FWCI
6.56
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.