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Diagnostic accuracy of carotid plaque instability by noninvasive imaging: a systematic review and meta-analysis.

Authors :
Pakizer, David
Kozel, Jiří
Taffé, Patrick
Elmers, Jolanda
Feber, Janusz
Michel, Patrik
Školoudík, David
Sirimarco, Gaia
Source :
European Heart Journal - Cardiovascular Imaging; Oct2024, Vol. 25 Issue 10, p1325-1335, 11p
Publication Year :
2024

Abstract

Aims There is increasing evidence that plaque instability in the extracranial carotid artery may lead to an increased stroke risk independently of the degree of stenosis. We aimed to determine diagnostic accuracy of vulnerable and stable plaque using noninvasive imaging modalities when compared to histology in patients with symptomatic and asymptomatic carotid atherosclerosis. Methods and results Medline Ovid, Embase, Cochrane Library, and Web of Science were searched for diagnostic accuracy of noninvasive imaging modalities (CT, MRI, US) in the detection of 1) vulnerable/stable plaque, and 2) vulnerable/stable plaque characteristics, compared to histology. The quality of included studies was assessed by QUADAS-2 and univariate and bivariate random-effect meta-analyses were performed. We included 36 vulnerable and 5 stable plaque studies in the meta-analysis, and out of 211 plaque characteristics from remaining studies, we classified 169 as vulnerable and 42 as stable characteristics (28 CT, 120 MRI, 104 US characteristics). We found that MRI had high accuracy [90% (95% CI: 82–95%)] in the detection of vulnerable plaque, similar to CT [86% (95% CI: 76–92%); P > 0.05], whereas US showed less accuracy [80% (95% CI: 75–84%); P = 0.013]. CT showed high diagnostic accuracy in visualizing characteristics of vulnerable or stable plaques (89% and 90%) similar to MRI (86% and 89%; P > 0.05); however, US had lower accuracy (77%, P < 0.001 and 82%, P > 0.05). Conclusion CT and MRI have a similar, high performance in detecting vulnerable carotid plaques, whereas US showed significantly less diagnostic accuracy. Moreover, MRI visualized all vulnerable plaque characteristics allowing for a better stroke risk assessment. Registration PROSPERO ID CRD42022329690 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20472404
Volume :
25
Issue :
10
Database :
Complementary Index
Journal :
European Heart Journal - Cardiovascular Imaging
Publication Type :
Academic Journal
Accession number :
180267008
Full Text :
https://doi.org/10.1093/ehjci/jeae144