ArticleAJNR. American journal of neuroradiology2020
Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct.
Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Atherosclerotic Plaque Characterization Magnetic Resonance Imaging In Vitro at 1.5 Tesla for the Assessment of Coronary Artery Disease.Journal of clinical medicine · 2026Article
- Quantitative Evaluation of Carotid Artery Stenosis by Multi-VENC 4D Flow MRI: Incorporating Turbulent Kinetic Energy for Clinical Validity.Journal of magnetic resonance imaging : JMRI · 2025Article
- MR Imaging of Carotid Artery Atherosclerosis: Updated Evidence on High-Risk Plaque Features and Emerging Trends.AJNR. American journal of neuroradiology · 2023Review
- Diagnostics of atherosclerosis: Overview of the existing methods.Frontiers in cardiovascular medicine · 2023Review
- Quantification of carotid plaque composition with a multi-contrast atherosclerosis characterization (MATCH) MRI sequence.Frontiers in cardiovascular medicine · 2023Article
- Influence of angioplasty and stenting on intracranial artery stenosis: preliminary results of high-resolution vessel wall imaging evaluation.European radiology · 2022Article
- Extracranial carotid plaque hemorrhage predicts ipsilateral stroke recurrence in patients with carotid atherosclerosis - a study based on high-resolution vessel wall imaging MRI.BMC neurology · 2022Article
- Semiautomated Segmentation and Volume Measurements of Cervical Carotid High-Signal Plaques Using 3D Turbo Spin-Echo T1-Weighted Black-Blood Vessel Wall Imaging: A Preliminary Study.Diagnostics (Basel, Switzerland) · 2022Article
- Normalized intraplaque hemorrhage signal on MP-RAGE as a marker for acute ischemic neurological events.The neuroradiology journal · 2022Article
- Artificial Intelligence Algorithm-Based MRI in Evaluating the Treatment Effect of Acute Cerebral Infarction.Computational and mathematical methods in medicine · 2022Article
- Study on the Predictive Value of Thromboelastography in Early Neurological Deterioration in Patients with Primary Acute Cerebral Infarction.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Near-infrared spectroscopy carotid plaque characteristics and cerebral embolism in carotid artery stenting.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021Article
- Cervical Carotid Plaque MRI : Review of Atherosclerosis Imaging Features and their Histologic Underpinnings.Clinical neuroradiology · 2021Review
- Studying the Factors of Human Carotid Atherosclerotic Plaque Rupture, by Calculating Stress/Strain in the Plaque, Based on CEUS Images: A Numerical Study.Frontiers in neuroinformatics · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeIdentifying the mere presence of carotid intraplaque hemorrhage would be insufficient to accurately discriminate the presence of acute cerebral infarct. We aimed to investigate the association between signal intensity ratios of carotid intraplaque hemorrhage on T1-weighted MR imaging and acute cerebral infarct in patients with hemorrhagic carotid plaques using MR vessel wall imaging. MATERIALS AND
methodsSymptomatic patients with carotid intraplaque hemorrhage were included. The signal intensity ratios of carotid intraplaque hemorrhage against muscle on T1-weighted, TOF, and MPRAGE images were measured. The acute cerebral infarct was determined on the hemisphere ipsilateral to the carotid intraplaque hemorrhage. The association between signal intensity ratios of carotid intraplaque hemorrhage and acute cerebral infarct was analyzed.
resultsOf 109 included patients (mean, 66.8 ± 9.9 years of age; 96 men), 40 (36.7%) had acute cerebral infarct. Patients with acute cerebral infarct had significantly higher signal intensity ratios of carotid intraplaque hemorrhage on T1-weighted images than those without (Median, 1.44; 25-75 Percentiles, 1.14-1.82 versus Median, 1.27; 25-75 Percentiles, 1.06-1.55,
conclusionsThe signal intensity ratio of carotid intraplaque hemorrhage on T1-weighted images is associated with acute cerebral infarct in symptomatic patients with carotid hemorrhagic plaques. This association is independent of traditional risk factors but not of the size of plaque composition. The possibility of applying T1 signals of carotid intraplaque hemorrhage to predict subsequent cerebrovascular ischemic events needs to be prospectively verified.
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