ArticleStroke2020
Quantitative Histogram Analysis on Intracranial Atherosclerotic Plaques: A High-Resolution Magnetic Resonance Imaging Study.
Article in Stroke, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 58 citations in OpenAlex.
- Vessel wall MRI predictors of postprocedural new ischemic brain lesions after endovascular treatment for basilar artery stenosis.Quantitative imaging in medicine and surgery · 2026Article
- Beyond plaque morphology: a multimodal imaging model combining structural vulnerability and functional reserve predicts stroke recurrence in symptomatic intracranial atherosclerosis.Quantitative imaging in medicine and surgery · 2026Article
- The effects of moderate-dose statin therapy on intracranial plaques with mild to moderate stenosis: a high-resolution MR vessel wall imaging study.European radiology · 2026Article
- Article
- Multimodal Radiomics Model Combining HR-VWI and Clinical Features for Identifying Symptomatic Basilar Atherosclerotic Plaques.BioMed research international · 2026Article
- Vertebrobasilar artery geometry and quantitative high-resolution vessel wall MRI for stratifying vulnerable plaques in young and middle-aged adults with stroke risk factors.Frontiers in medicine · 2026Article
- High-resolution MRI-based Radiomics and Machine Learning for Identification of Middle Cerebral Artery Vulnerable PlaquesCurrent medical imaging · 2026Article
- Systemic Inflammation and White Matter Hyperintensities Associated with Cognitive Impairment in Intracranial Atherosclerotic Stenosis: A Retrospective Observational Study.Journal of inflammation research · 2026Article
- Low Lymphocyte-to-Monocyte Ratio Predicts Plaque Instability and Stroke Recurrence in Intracranial Atherosclerotic Stenosis.Journal of inflammation research · 2026Article
- Prediction of Occlusion Duration in Nonacute Intracranial Large Artery Through High-Resolution Vessel Wall Imaging.Journal of the American Heart Association · 2025Article
- Quantitative plaque characteristics based on 3D high-resolution vessel wall imaging predict long-term recurrence in intracranial atherosclerotic stroke.Neuroradiology · 2025Article
- Inter-rater reliability of atherosclerotic plaque enhancement on 7 T vessel wall MRI: Comparison with quantitative analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025Article
- Endothelial Glycocalyx in Cerebral Infarction After Endovascular Treatment in Patients With Intracranial Artery Stenosis.CNS neuroscience & therapeutics · 2025Observational
- High-risk characteristics of recurrent ischemic stroke after intensive medical management for 6-month follow-up: a histogram study on vessel wall MRI.European radiology · 2025Observational
- A radiomic model based on 7T intracranial vessel wall imaging for identification of culprit middle cerebral artery plaque associated with subcortical infarctions.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Comparison of computer-aided quantitative measurement and physician visual assessment in the evaluation of intracranial atherosclerotic stenosis: a vessel wall magnetic resonance imaging study.Quantitative imaging in medicine and surgery · 2024Article
- Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques.Scientific reports · 2024Article
- The hemodynamic and geometric characteristics of carotid artery atherosclerotic plaque formation.Quantitative imaging in medicine and surgery · 2024Article
- Differential diagnosis of thyroid nodules using heterogeneity quantification software on ultrasound images: correlation with the Bethesda system and surgical pathology.Scientific reports · 2024Article
- Delayed Enhancement of Intracranial Atherosclerotic Plaque Can Better Differentiate Culprit Lesions: A Multiphase Contrast-Enhanced Vessel Wall MRI Study.AJNR. American journal of neuroradiology · 2024Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
background and purposeIntracranial atherosclerosis is one of the main causes of stroke, and high-resolution magnetic resonance imaging provides useful imaging biomarkers related to the risk of ischemic events. This study aims to evaluate differences in histogram features between culprit and nonculprit intracranial atherosclerosis using high-resolution magnetic resonance imaging.
methodsTwo hundred forty-seven patients with intracranial atherosclerosis who underwent high-resolution magnetic resonance imaging sequentially between January 2015 and December 2016 were recruited. Quantitative features, including stenosis, plaque burden, minimum luminal area, intraplaque hemorrhage, enhancement ratio, and dispersion of signal intensity (coefficient of variation), were analyzed based on T2-, T1-, and contrast-enhanced T1-weighted images. Step-wise regression analysis was used to identify key determinates differentiating culprit and nonculprit plaques and to calculate the odds ratios (ORs) with 95% CIs.
resultsIn total, 190 plaques were identified, of which 88 plaques (37 culprit and 51 nonculprit) were located in the middle cerebral artery and 102 (57 culprit and 45 nonculprit) in the basilar artery. Nearly 90% of culprit lesions had a degree of luminal stenosis of <70%. Multiple logistic regression analyses showed that intraplaque hemorrhage (OR, 16.294 [95% CI, 1.043-254.632];
conclusionsFeatures characterized by high-resolution magnetic resonance imaging provided complementary values over luminal stenosis in defined lesion type for intracranial atherosclerosis; the dispersion of signal intensity in histogram analysis was a particularly effective predictive parameter.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.