ArticleNeurosurgical focus2019
Hemodynamic and morphological characteristics of a growing cerebral aneurysm.
Article in Neurosurgical focus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 44 citations in OpenAlex.
- Possible hemodynamic mechanisms in the size change of cerebral aneurysms: an exploratory study.Quantitative imaging in medicine and surgery · 2026Article
- Comprehensive morphomechanical and wall enhancement analysis of intracranial aneurysms.European radiology · 2025Article
- Competing pathways of intracranial aneurysm growth: linking regional growth distribution and hemodynamics.Journal of neurosurgery · 2025Article
- Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.International journal for numerical methods in biomedical engineering · 2024Article
- Association between intracranial aneurysm wall enhancement and intracranial atherosclerotic plaque: a cross-sectional study using high-resolution vessel wall imaging.Quantitative imaging in medicine and surgery · 2024Article
- The Role of Immersion for Improving Extended Reality Analysis of Personalized Flow Simulations.Cardiovascular engineering and technology · 2023Article
- Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease.Biophysics reviews · 2023Review
- Aneurysm wall enhancement, hemodynamics, and morphology of intracranial fusiform aneurysms.Frontiers in aging neuroscience · 2023Article
- Hemodynamic Characteristic Analysis of Aneurysm Wall Enhancement in Unruptured Middle Cerebral Artery Aneurysm.Frontiers in neurology · 2022Article
- A data-driven approach to modeling cancer cell mechanics during microcirculatory transport.Scientific reports · 2021Article
- Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation.Computers in biology and medicine · 2021Article
- Predictive Factors of Cerebral Aneurysm Rerupture After Clipping.Frontiers in neurology · 2021Article
- Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm.Computational and mathematical methods in medicine · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
The growth of cerebral aneurysms is linked to local hemodynamic conditions, but the driving mechanisms of the growth are poorly understood. The goal of this study was to examine the association between intraaneurysmal hemodynamic features and areas of aneurysm growth, to present the key hemodynamic parameters essential for an accurate prediction of the growth, and to gain a deeper understanding of the underlying mechanisms. Patient-specific images of a growing cerebral aneurysm in 3 different growth stages acquired over a period of 40 months were segmented and reconstructed. A unique aspect of this patient-specific case study was that while one side of the aneurysm stayed stable, the other side continued to grow. This unique case enabled the authors to examine their aims in the same patient with parent and daughter arteries under the same inlet flow conditions. Pulsatile flow in the aneurysm models was simulated using computational fluid dynamics and was validated with in vitro experiments using particle image velocimetry measurements. The authors' detailed analysis of intrasaccular hemodynamics linked the growing regions of aneurysms to flow instabilities and complex vortex structures. Extremely low velocities were observed at or around the center of the unstable vortex structure, which matched well with the growing regions of the studied cerebral aneurysm. Furthermore, the authors observed that the aneurysm wall regions with a growth greater than 0.5 mm coincided with wall regions of lower (< 0.5 Pa) time-averaged wall shear stress (TAWSS), lower instantaneous (< 0.5 Pa) wall shear stress (WSS), and high (> 0.1) oscillatory shear index (OSI). To determine which set of parameters can best identify growing and nongrowing aneurysms, the authors performed statistical analysis for consecutive stages of the growing CA. The results demonstrated that the combination of TAWSS and the distance from the center of the vortical structure has the highest sensitivity and positive predictive value, and relatively high specificity and negative predictive value. These findings suggest that an unstable, recirculating flow structure within the aneurysm sac created in the region adjacent to the aneurysm wall with low TAWSS may be introduced as an accurate criterion to explain the hemodynamic conditions predisposing the aneurysm to growth. The authors' findings are based on one patient's data set, but the study lays out the justification for future large-scale verification. The authors' findings can assist clinicians in differentiating stable and growing aneurysms during preinterventional planning.
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