Key result
MRI detects vulnerable carotid plaques with ~90% accuracy, significantly outperforming ultrasound.
Why the study?
Plaque instability in the extracranial carotid artery may increase stroke risk independently of stenosis degree, prompting evaluation of noninvasive imaging diagnostic accuracy compared to histology.
Does noninvasive imaging (CT, MRI, US) accurately detect vulnerable and stable carotid plaque characteristics compared to histology in patients with carotid atherosclerosis?
Meta-Analysis (n=6,136)
Does noninvasive imaging (CT, MRI, US) accurately detect vulnerable and stable carotid plaque characteristics compared to histology in patients with carotid atherosclerosis?
CT and MRI demonstrate similar, high diagnostic accuracy for detecting vulnerable carotid plaques compared to histology, outperforming ultrasound, with MRI uniquely able to visualize all vulnerable plaque characteristics.
Answers are grounded in this paper and cite their sources.
Supports preferring MRI or CT over ultrasound for vulnerable carotid plaque detection; confirms high accuracy versus histology.
Background 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 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. Results 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 a high diagnostic accuracy to visualize 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). Conclusions CT and MRI have a similar, high performance to detect 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 ( https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=329690 )
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Pakizer et al. (2023) conducted a meta-analysis in Carotid plaque instability (n=6,136). Magnetic resonance imaging (MRI) vs. Ultrasound (US) was evaluated on Diagnostic accuracy for vulnerable plaque detection (95% CI 82-95, p=0.003). Magnetic resonance imaging and computed tomography demonstrated high diagnostic accuracy (90% and 86%) for detecting vulnerable carotid plaques, with MRI significantly outperforming ultrasound.
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