ArticleAtherosclerosis2016
Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI.
Article in Atherosclerosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- MR Intracranial Vessel Wall Imaging: A Systematic Review.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Pooled it
- Qualitative Assessment and Reporting Quality of Intracranial Vessel Wall MR Imaging Studies: A Systematic Review.AJNR. American journal of neuroradiology · 2019Pooled it
- Multimodal profiling of atherosclerosis: Protocol and pilot data for the AtherOMICS biobank.Science advances · 2026Article
- AI-driven diagnosis of vulnerable intracranial atherosclerotic plaques using large language models and vision transformers: a multi-center study.European radiology · 2026Article
- Arterial wall enhancement on high-resolution vessel-wall MRI correlates with stenosis burden and large-artery atherosclerosis subtype in ischemic stroke.Neurosurgical review · 2025Article
- RNF213 p.Arg4810Lys Variant Is Associated with Higher Stenosis Progression in Asymptomatic Intracranial Artery Stenosis.Translational stroke research · 2025Article
- The Etiology of Intracranial Artery Stenosis in Autoimmune Rheumatic Diseases: An Observational High-Resolution MR Imaging Study.AJNR. American journal of neuroradiology · 2025Observational
- Vessel Wall Imaging in Cryptogenic Stroke.Radiologic clinics of North America · 2023Review
- Radiomics and artificial neural networks modelling for identification of high-risk carotid plaques.Frontiers in cardiovascular medicine · 2023Article
- Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning.Journal of neurology · 2022Article
- Ex Vivo Study Using Diffusion Tensor Imaging to Identify Biomarkers of Atherosclerotic Disease in Human Cadaveric Carotid Arteries.Arteriosclerosis, thrombosis, and vascular biology · 2022Article
- The MRI enhancement ratio and plaque steepness may be more accurate for predicting recurrent ischemic cerebrovascular events in patients with intracranial atherosclerosis.European radiology · 2022Article
- Application and interpretation of vessel wall magnetic resonance imaging for intracranial atherosclerosis: a narrative review.Annals of translational medicine · 2022Review
- Vessel wall MR imaging of aortic arch, cervical carotid and intracranial arteries in patients with embolic stroke of undetermined source: A narrative review.Frontiers in neurology · 2022Review
- Characteristics of symptomatic plaque on high-resolution magnetic resonance imaging and its relationship with the occurrence and recurrence of ischemic stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Review
- High-resolution Compressed-sensing T1 Black-blood MRI : A New Multipurpose Sequence in Vascular Neuroimaging?Clinical neuroradiology · 2021Article
- Evaluation of Plaque Characteristics and Inflammation Using Magnetic Resonance Imaging.Biomedicines · 2021Review
- Intraplaque Enhancement Is Associated With Artery-to-Artery Embolism in Symptomatic Vertebrobasilar Atherosclerotic Diseases.Frontiers in neurology · 2021Article
- Histology-Verified Intracranial Artery Calcification and Its Clinical Relevance With Cerebrovascular Disease.Frontiers in neurology · 2021Review
- TFrontiers in neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
BACKGROUND AND
aimsRecent development of high resolution MRI techniques have enabled imaging of intracranial atherosclerotic plaque in vivo. However, identifying plaque composition remains challenging given the small size and the lack of histological validation. This study aims to quantify the relaxation times of intracranial plaque components ex vivo at 3 T and to determine whether multi-contrast MRI could classify intracranial plaque according to the American Heart Association classification with histological validation.
methodsA total of 53 intracranial arteries with atherosclerotic plaques from 20 cadavers (11 male, age 73.8 ± 10.9) were excised. Quantitative T1/T2/T2* mapping sequences and multi-contrast fast-spin echo sequences (T1, T2, proton-density weighted and short time inversion recovery) were acquired. Plaque components including: fibrous cap, lipid core, fibrous tissue, calcification, and healthy wall were segmented on histology, and their relaxation times were derived from quantitative images. Two radiologists independently classified plaque type blinded to the histology results.
resultsRelaxation times of plaque components are distinct and different. T2 and T2* values of lipid core are lower than fibrous cap (p = 0.026 & p < 0.0001), but are comparable with fibrous tissue and healthy wall (p = 0.76 & p = 0.42). MRI reliably classified plaque type compared with histology (κ = 0.69) with an overall accuracy of 80.7%. The sensitivity and specificity using MRI to identify fibro-lipid atheroma (type IV-V) was 94.8% and 77.1%, respectively. Inter-observer agreement was excellent (κ = 0.77).
conclusionIntracranial plaque components have distinct and different relaxation times at 3 T. High-resolution MRI is able to characterize intracranial plaque composition and classify plaque types ex vivo at 3 T.
Indexed as
Identifiers
What OpenQuestion holds
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.