ArticlePloS one2016
Qualitative Evaluation of a High-Resolution 3D Multi-Sequence Intracranial Vessel Wall Protocol at 3 Tesla MRI.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- MR Intracranial Vessel Wall Imaging: A Systematic Review.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Pooled it
- Trial
- Exploring the Association Between Heart Rate Variability and Intracranial Atherosclerosis in Middle-Aged or over Community-Dwelling Adults.Diagnostics (Basel, Switzerland) · 2025Article
- Image-Quality Assessment of 3D Intracranial Vessel Wall MRI Using DANTE or DANTE-CAIPI for Blood Suppression and Imaging Acceleration.AJNR. American journal of neuroradiology · 2022Article
- Comprehensive investigation of RNF213 nonsynonymous variants associated with intracranial artery stenosis.Scientific reports · 2020Article
- Gadolinium Enhancement of the Aneurysm Wall in Extracranial Carotid Artery Aneurysms.AJNR. American journal of neuroradiology · 2020Article
- Vessel wall and lumen characteristics with age in healthy participants using 3T intracranial vessel wall magnetic resonance imaging.Journal of magnetic resonance imaging : JMRI · 2019Article
- Accelerated multi-contrast high isotropic resolution 3D intracranial vessel wall MRI using a tailored k-space undersampling and partially parallel reconstruction strategy.Magma (New York, N.Y.) · 2019Article
- Variable impact of CSF flow suppression on quantitative 3.0T intracranial vessel wall measurements.Journal of magnetic resonance imaging : JMRI · 2018Article
- Comparison of 3T Intracranial Vessel Wall MRI Sequences.AJNR. American journal of neuroradiology · 2018Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
background and purposeIntracranial vessel wall imaging using MRI has great potential as a clinical method for assessing intracranial atherosclerosis. The purpose of the current study was to compare three 3T MRI vessel wall sequences with different contrast weightings (T1w, PD, T2w) and dedicated sagittal orientation perpendicular to the middle cerebral artery, to the reconstructed sagittal image from a transverse 3D T1w volumetric isotropically reconstructed turbo spin-echo acquisition (VIRTA), and provide a clinical recommendation. MATERIALS AND
methodsThe above-mentioned sequences were acquired in 10 consecutive Chinese ischemic stroke or TIA patients (age: 68 years, sex: 4 females) with angiographic-confirmed MCA stenosis at 3T. Institutional review board approval was obtained. Two raters qualitatively scored all images on overall image quality, presence of artifacts, and visibility of plaques. Data were compared using Repeated measures ANOVA and Sidak's adjusted post hoc tests.
resultsAll sequences except the T2w sequence were able to depict the walls of the large vessels of the Circle of Willis (p<0.05). T1w sagittal oblique VIRTA showed significantly more artifacts (p<0.01). Peripherally located plaques were sometimes missed on the sagittal sequences, but could be appreciated on the transverse T1w VIRTA.
conclusionWith the 3T multi-sequence vessel wall protocol we were able to assess the intracranial plaque with two different image contrast weightings. The sequence of preference to include in a clinical protocol would be the transverse 3D T1w VIRTA based on absence of artifacts, larger coverage including the whole Circle of Willis, and excellent lesion depiction.
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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.