ArticleQuantitative imaging in medicine and surgery2022
Hemodynamics derived from computational fluid dynamics based on magnetic resonance angiography is associated with functional outcomes in atherosclerotic middle cerebral artery stenosis.
Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05907629 (Comparison of Anti-coagulation and Anti-Platelet Therapies for Intracranial Vascular Atherostenosis- Magnetic Resonance Imaging), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Comparison of Anti-coagulation and Anti-Platelet Therapies for Intracranial Vascular Atherostenosis- Magnetic Resonance Imaging
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical implications of haemodynamics in symptomatic intracranial atherosclerotic stenosis by computational fluid dynamics modelling: a systematic review.Stroke and vascular neurology · 2025Pooled it
- Atherosclerotic middle cerebral artery stenosis: adjacent arterial geometry, hemodynamics and plaque features.Japanese journal of radiology · 2026Article
- FLAIR vascular hyperintensity: association with infarction and vascular lesion burden in patients with middle cerebral artery stenosis.European radiology · 2026Article
- Integrating hemodynamic analysis with traditional imaging in intracranial atherosclerotic stenosis: current status and future perspectives.Frontiers in neurology · 2025Review
- Correlation of fluid-attenuated inversion recovery sequence vascular hyperintensity in magnetic resonance with collateral circulation and short-term clinical prognosis in acute ischemic stroke.Quantitative imaging in medicine and surgery · 2024Article
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Authors and funding
11 authors.
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Abstract
backgroundTo investigate the relationship between fluid-attenuated inversion recovery (FLAIR) vascular hyperintensity (FVH), hemodynamics, and functional outcome in atherosclerotic middle cerebral artery (MCA) stenosis using a computational fluid dynamics (CFD) model based on magnetic resonance angiography (MRA), according to a modified Rankin Scale (mRS) at 3 months.
methodsA total of 120 patients with 50-99% atherosclerotic MCA stenosis were included. The training and internal validation groups were composed of 99 participants and 21 participants, respectively. Demographic, imaging data, and functional outcome (mRS at 3 months) were collected. Hemodynamic parameters were obtained from the CFD model. The FVH score was based on the number of territories where FVH is positive, according to the spatial distribution in the Alberta Stroke Program Early Computed Tomography Score (ASPECTS). The prediction models were constructed according to clinical and hemodynamic parameters using multivariate logistic analysis. The DeLong test compared areas under the curves (AUCs) of the models.
resultsThe multivariable logistic regression analysis showed that the National Institute of Health Stroke Scale (NIHSS) at admission, hypertension, hyperlipidemia, the ratio of wall shear stress before treatment (WSSR
conclusionsHemodynamics was associated with functional outcomes in patients with ischemic stroke attributed to atherosclerotic MCA stenosis, while FVH was not. Hemodynamic parameters were of great importance in the prediction models.
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