ArticleNeuroradiology2025
Carotid artery hemodynamics and geometry as predictors of cerebral small vessel disease: insights from 4D flow imaging.
Article in Neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Endovascular management of internal carotid artery terminus aneurysms: a systematic review and meta-analysis.Neurosurgical review · 2026Pooled it
- Lateralized cerebral arterial blood flow and blood pressure adaptations to short-term head-down tilt: a 4D flow MRI study with cognitive function assessment.Military Medical Research · 2026Article
- Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography.Frontiers in neurology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
background and purposeCerebral small vessel disease (cSVD) is a common condition with complex pathophysiology, resulting in poor clinical outcomes. This study uses four-dimensional flow (4D flow) imaging to examine how carotid artery hemodynamics and geometry impact cSVD development.
methodsCombining ultrasound, 4D flow, and three-dimensional time-of-flight magnetic resonance angiography (3D-TOF MRA), we analyzed and measured internal carotid artery (ICA) hemodynamics and geometric parameters. Based on cranial magnetic resonance imaging (MRI) findings, the characteristics, counts, and scores of small vessel diseases were assessed. Single-factor analyses affecting cSVD were conducted, followed by multivariable logistic regression to pinpoint independent risk factors. A P-value of < 0.05 was considered statistically significant. ROC curves were used to evaluate the model's performance and explanatory power.
resultsMultivariable analysis revealed differences in white matter hyperintensities (WMH) related to maximum pressure gradient (PG
conclusionDiameter variations in the ICA and MCA may indicate changes in vascular compliance and potential remodeling abnormalities. Hemodynamic anomalies in the ICA's initial segment could suggest distal vascular disease, offering new insights into cSVD pathogenesis.
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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.