The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications
Abstract
Stroke represents a massive public health problem. Carotid atherosclerosis plays a fundamental part in the occurence of ischaemic stroke. European and US guidelines for prevention of stroke in patients with carotid plaques are based on quantification of the percentage reduction in luminal diameter due to the atherosclerotic process to select the best therapeutic approach. However, better strategies for prevention of stroke are needed because some subtypes of carotid plaques (eg, vulnerable plaques) can predict the occurrence of stroke independent of the degree of stenosis. Advances in imaging techniques have enabled routine characterisation and detection of the features of carotid plaque vulnerability. Intraplaque haemorrhage is accepted by neurologists and radiologists as one of the features of vulnerable plaques, but other characteristics-eg, plaque volume, neovascularisation, and inflammation-are promising as biomarkers of carotid plaque vulnerability. These biomarkers could change current management strategies based merely on the degree of stenosis.
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
Cites
Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease
Ridker, P. M., Everett, B. M., Thuren, T., MacFadyen, J. G., Chang, W. H., Ballantyne, C., Fonseca, F., Nicolau, J., Koenig, W., Anker, S. D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707914 · Cited by 9,482
Kernan, W. N., Ovbiagele, B., Black, H. R., Bravata, D. M., Chimowitz, M. I., Ezekowitz, M. D., Fang, M. C., Fisher, M., Furie, K. L., Heck, D. V., et al. (2014) · Stroke · doi:10.1161/str.0000000000000024 · Cited by 5,170
Compensatory Enlargement of Human Atherosclerotic Coronary Arteries
Glagov, S., Weisenberg, E., Zarins, C. K., Stankunavicius, R., & Kolettis, G. J. (1987) · New England Journal of Medicine · doi:10.1056/nejm198705283162204 · Cited by 3,623
Benefit of Carotid Endarterectomy in Patients with Symptomatic Moderate or Severe Stenosis
Barnett, H. J. M., Taylor, D. W., Eliasziw, M., Fox, A. J., Ferguson, G. G., Haynes, R. B., Rankin, R. N., Clagett, G. P., Hachinski, V. C., Sackett, D. L., et al. (1998) · New England Journal of Medicine · doi:10.1056/nejm199811123392002 · Cited by 3,594
Aboyans, V., Ricco, J.-B., Bartelink, M.-L. E. L., Björck, M., Brodmann, M., Cohnert, T., Collet, J.-P., Czerny, M., De Carlo, M., Debus, S., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehx095 · Cited by 3,293
Naghavi, M., Libby, P., Falk, E., Casscells, S. W., Litovsky, S., Rumberger, J., Badimon, J. J., Stefanadis, C., Moreno, P., Pasterkamp, G., et al. (2003) · Circulation · doi:10.1161/01.cir.0000087481.55887.c9 · Cited by 2,668
Self-citationO'Donnell, M. J., Chin, S. L., Rangarajan, S., Xavier, D., Liu, L., Zhang, H., Rao-Melacini, P., Zhang, X., Pais, P., Agapay, S., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30506-2 · Cited by 2,296
Mannheim Carotid Intima-Media Thickness and Plaque Consensus (2004–2006–2011)
Touboul, P.-J., Hennerici, M. G., Meairs, S., Adams, H., Amarenco, P., Bornstein, N., Csiba, L., Desvarieux, M., Ebrahim, S., Hernandez Hernandez, R., et al. (2012) · Cerebrovascular Diseases · doi:10.1159/000343145 · Cited by 1,801
Naylor, A. R., Ricco, J.-B., de Borst, G. J., Debus, S., de Haro, J., Halliday, A., Hamilton, G., Kakisis, J., Kakkos, S., Lepidi, S., et al. (2018) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2017.06.021 · Cited by 1,165
Update on acute coronary syndromes: the pathologists' view
Falk, E., Nakano, M., Bentzon, J. F., Finn, A. V., & Virmani, R. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs411 · Cited by 1,047
Metadata
- Authors
- Saba, L., Saam, T., Jäger, H. R., Yuan, C., Hatsukami, T. S., Saloner, D., Wasserman, B. A., Bonati, L. H., & Wintermark, M.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 18
- Issue
- 6
- Pages
- 559-572
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2927941727
- Cited by
- 513
- References
- 87
- FWCI
- 31.79
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. https://app.cochat.ai/papers/10.1016/s1474-4422(19)30035-3
- The paper
- Saba, L., Saam, T., Jäger, H. R., Yuan, C., Hatsukami, T. S., Saloner, D., Wasserman, B. A., Bonati, L. H., & Wintermark, M. (2019). Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. The Lancet Neurology. https://doi.org/10.1016/s1474-4422(19)30035-3
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.
