ArticleInternational journal for numerical methods in biomedical engineering2018
Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees.
Article in International journal for numerical methods in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 15 citations in OpenAlex.
- Impact of geometric factors and shear stress on endothelial function: Hemodynamic insights from human cerebral arterial bifurcations.Physiological reports · 2026Article
- Voxelized simulation of cerebral oxygen perfusion elucidates hypoxia in aged mouse cortex.PLoS computational biology · 2021Article
- An efficient full space-time discretization method for subject-specific hemodynamic simulations of cerebral arterial blood flow with distensible wall mechanics.Journal of biomechanics · 2019Article
- Cerebral arteriovenous malformation venous stenosis is associated with hemodynamic changes at the draining vein-venous sinus junction.Medical hypotheses · 2019Article
- Validation of parametric mesh generation for subject-specific cerebroarterial trees using modified Hausdorff distance metrics.Computers in biology and medicine · 2018Article
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6 authors at 1 institution in 1 country.
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Abstract
Detailed hemodynamic analysis of blood flow in pathological segments close to aneurysm and stenosis has provided physicians with invaluable information about the local flow patterns leading to vascular disease. However, these diseases have both local and global effects on the circulation of the blood within the cerebral tree. The aim of this paper is to demonstrate the importance of extending subject-specific hemodynamic simulations to the entire cerebral arterial tree with hundreds of bifurcations and vessels, as well as evaluate hemodynamic risk factors and waveform shape characteristics throughout the cerebral arterial trees. Angioarchitecture and in vivo blood flow measurement were acquired from healthy subjects and in cases with symptomatic intracranial aneurysm and stenosis. A global map of cerebral arterial blood flow distribution revealed regions of low to high hemodynamic risk that may significantly contribute to the development of intracranial aneurysms or atherosclerosis. Comparison of pre-intervention and post-intervention of pathological cases further shows large angular phase shift (~33.8°), and an augmentation of the peak-diastolic velocity. Hemodynamic indexes of waveform analysis revealed on average a 16.35% reduction in the pulsatility index after treatment from lesion site to downstream distal vessels. The lesion regions not only affect blood flow streamlines of the proximal sites but also generate pulse wave shift and disturbed flow in downstream vessels. This network effect necessitates the use of large-scale simulation to visualize both local and global effects of pathological lesions.
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