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Cited by 280

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Imaging of atherosclerosis: carotid intima-media thickness

O'Leary, D. H., Bots, M. L.·2010·European Heart Journal

Abstract

Carotid ultrasound provides quantitative measurements of carotid intima-media thickness (CIMT) that can be used to assess cardiovascular disease (CVD) risk in individuals and monitor ongoing disease progression and regression in clinical trials. It is non-invasive, rapid, reproducible, and carries no risk. Numerous epidemiological studies have established that CIMT is a marker of subclinical atherosclerosis and is associated with established CVD risk factors and with both prevalent and incident CVD. The use of CIMT in outcome trials as a surrogate or predictor of CVD outcomes is widespread. Carotid ultrasound is being employed to test the efficacy of CVD treatment in order to identify potential useful drugs earlier and to possibly speed regulatory approval. Successive trials have generated lessons learned and applied, with slow but steady improvement in CIMT measurement reproducibility.

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Registry

Crossref · 10.1093/eurheartj/ehq185

Cites

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Metadata

Authors
O'Leary, D. H., & Bots, M. L.
Venue
European Heart Journal
Published
2010-06-11
Volume
31
Issue
14
Pages
1682-1689
ISSN
  • 0195-668X (ISSN-L)
  • 1522-9645
OpenAlex
W2144814726
Cited by
280
References
8
FWCI
10.02
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Imaging of atherosclerosis: carotid intima-media thickness. https://app.cochat.ai/papers/10.1093/eurheartj/ehq185
The paper
O'Leary, D. H., & Bots, M. L. (2010). Imaging of atherosclerosis: carotid intima-media thickness. European Heart Journal. https://doi.org/10.1093/eurheartj/ehq185

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.