ArticlePloS one2013
MRI plaque imaging detects carotid plaques with a high risk for future cerebrovascular events in asymptomatic patients.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Application of TyG index and carotid ultrasound parameters in the prediction of ischemic stroke.Frontiers in endocrinology · 2025Article
- Combining Computational Fluid Dynamics, Structural Analysis, and Machine Learning to Predict Cerebrovascular Events: A Mild ML Approach.Diagnostics (Basel, Switzerland) · 2024Article
- Predictive values of carotid high-resolution magnetic resonance imaging for large embolus shedding in carotid artery stenting.Turkish journal of medical sciences · 2022Article
- Association between Pericytes in Intraplaque Neovessels and Magnetic Resonance Angiography Findings.International journal of molecular sciences · 2020Article
- Carotid artery plaque characterization with a wide-detector computed tomography using a dedicated post-processing 3D analysis: comparison with histology.La Radiologia medica · 2019Article
- Carotid calcifications in panoramic radiographs are associated with future stroke or ischemic heart diseases: a long-term follow-up study.Clinical oral investigations · 2019Article
- Usefulness of Plaque Magnetic Resonance Imaging in Identifying High-Risk Carotid Plaques Irrespective of the Degree of Stenosis.Journal of cerebrovascular and endovascular neurosurgery · 2017Article
- Vulnerable carotid plaque imaging and histopathology without a dedicated MRI receiver coil.The neuroradiology journal · 2017Article
- AHA classification of coronary and carotid atherosclerotic plaques by grating-based phase-contrast computed tomography.European radiology · 2016Article
- Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans.PloS one · 2016Observational
- Evidence for management of carotid artery stenosis.Neurologia medico-chirurgica · 2015Review
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Authors and funding
16 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to investigate prospectively whether MRI plaque imaging can identify patients with asymptomatic carotid artery stenosis who have an increased risk for future cerebral events. MRI plaque imaging allows categorization of carotid stenosis into different lesion types (I-VIII). Within these lesion types, lesion types IV-V and VI are regarded as rupture-prone plaques, whereas the other lesion types represent stable ones.
methodsEighty-three consecutive patients (45 male (54.2%); age 54-88 years (mean 73.2 years)) presenting with an asymptomatic carotid stenosis of 50-99% according to ECST-criteria were recruited. Patients were imaged with a 1.5-T scanner. T1-, T2-, time-of-flight-, and proton-density weighted studies were performed. The carotid plaques were classified as lesion type I-VIII. Clinical endpoints were ischemic stroke, TIA or amaurosis fugax. Survival analysis and log rank test were used to ascertain statistical significance.
resultsSix out of 83 patients (7.2%) were excluded: 4 patients had insufficient MR image quality; 1 patient was lost-to-follow-up; 1 patient died shortly after the baseline MRI plaque imaging. The following results were obtained by analyzing the remaining 77 patients. The mean time of follow-up was 41.1 months. During follow-up, n = 9 (11.7%) ipsilateral ischemic cerebrovascular events occurred. Only patients presenting with the high-risk lesion types IV-V and VI developed an ipsilateral cerebrovascular event versus none of the patients presenting with the stable lesion types III, VII, and VIII (n = 9 (11.7%) vs. n = 0 (0%) during follow-up). Event-free survival was higher among patients with the MRI-defined stable lesion types (III, VII, and VIII) than in patients with the high-risk lesion types (IV-V and VI) (log rank test P<0.0001).
conclusionsMRI plaque imaging has the potential to identify patients with asymptomatic carotid stenosis who are particularly at risk of developing future cerebral ischemia. MRI could improve selection criteria for invasive therapy in the future.
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