Centre for Health Research, Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
Center for Primary Care and Public Health, Division of Biostatistics, University of Lausanne, Route de la Corniche 10, 1010, Lausanne, Switzerland.
Eur Heart J Cardiovasc Imaging. 2024 Sep 30;25(10):1325-1335. doi: 10.1093/ehjci/jeae144.
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.
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).
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.
PROSPERO ID CRD42022329690.
越来越多的证据表明,颅外颈动脉斑块不稳定可能导致中风风险增加,而与狭窄程度无关。我们旨在确定在有症状和无症状颈动脉粥样硬化患者中,与组织学相比,使用非侵入性成像方式诊断易损和稳定斑块的准确性。
在 Medline Ovid、Embase、Cochrane 图书馆和 Web of Science 上搜索了非侵入性成像方式(CT、MRI、US)在检测 1)易损/稳定斑块和 2)易损/稳定斑块特征方面的诊断准确性,与组织学相比。通过 QUADAS-2 评估纳入研究的质量,并进行了单变量和双变量随机效应荟萃分析。我们纳入了 36 项易损斑块和 5 项稳定斑块研究进行荟萃分析,在其余研究的 211 个斑块特征中,我们将 169 个归类为易损特征,42 个归类为稳定特征(28 个 CT、120 个 MRI、104 个 US 特征)。我们发现 MRI 在检测易损斑块方面具有较高的准确性[90%(95%CI:82-95%)],与 CT 相似[86%(95%CI:76-92%);P>0.05],而 US 的准确性较低[80%(95%CI:75-84%);P=0.013]。CT 显示出较高的诊断准确性,可用于可视化易损或稳定斑块的特征(89%和 90%),与 MRI 相似(86%和 89%;P>0.05);然而,US 的准确性较低(77%,P<0.001 和 82%,P>0.05)。
CT 和 MRI 在检测易损颈动脉斑块方面具有相似的、较高的性能,而 US 的诊断准确性明显较低。此外,MRI 可可视化所有易损斑块特征,从而更好地评估中风风险。
PROSPERO ID CRD42022329690。