Impact of spatial and temporal stability of flow vortices on vascular endothelial cells

Sunderland, Kevin; Jia, Wenkai; He, Weilue; Jiang, Jingfeng; Zhao, Feng

doi:10.1007/s10237-022-01632-y

Cited by 2 publications

(2 citation statements)

References 55 publications

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“…Although hemodynamics has been long recognized for its importance in vascular remodeling 14 , quantifying the aneurismal flow disturbance has not been advanced. Notably, such a quantification should accurately reflect the degree of the flow disturbance, which plays a vital role in vascular remodeling, as demonstrated in our recent in vitro study 36 . In two recent studies 13 , 29 , hemodynamic metrics were used to predict AAAs’ growth.…”

Section: Introductionmentioning

confidence: 70%

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

Rezaeitaleshmahalleh,

Lyu,

et al. 2023

Sci Rep

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Aneurysm hemodynamics is known for its crucial role in the natural history of abdominal aortic aneurysms (AAA). However, there is a lack of well-developed quantitative assessments for disturbed aneurysmal flow. Therefore, we aimed to develop innovative metrics for quantifying disturbed aneurysm hemodynamics and evaluate their effectiveness in predicting the growth status of AAAs, specifically distinguishing between fast-growing and slowly-growing aneurysms. The growth status of aneurysms was classified as fast (≥ 5 mm/year) or slow (< 5 mm/year) based on serial imaging over time. We conducted computational fluid dynamics (CFD) simulations on 70 patients with computed tomography (CT) angiography findings. By converting hemodynamics data (wall shear stress and velocity) located on unstructured meshes into image-like data, we enabled spatial pattern analysis using Radiomics methods, referred to as "Hemodynamics-informatics" (i.e., using informatics techniques to analyze hemodynamic data). Our best model achieved an AUROC of 0.93 and an accuracy of 87.83%, correctly identifying 82.00% of fast-growing and 90.75% of slowly-growing AAAs. Compared with six classification methods, the models incorporating hemodynamics-informatics exhibited an average improvement of 8.40% in AUROC and 7.95% in total accuracy. These preliminary results indicate that hemodynamics-informatics correlates with AAAs' growth status and aids in assessing their progression.

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Section: Introductionmentioning

confidence: 70%

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

Rezaeitaleshmahalleh,

Lyu,

et al. 2023

Sci Rep

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“…Many other interactions between blood vessel endothelial cells and the fluid shear have subsequently been discovered. The arterial work has focused on locations where the flow pattern is complex, the wall shear varies spatially over short distances, and the flow is disturbed (see, e.g., Sunderland et al [25]). This has allowed the creation of a wide variety of sophisticated candidate flow-signal indices in such vessels (see, e.g., Mazzi et al [26]).…”

Section: Discussionmentioning

confidence: 99%

Fluid‐Dynamic Modeling of Flow in Embryonic Tissue Indicates That Lymphatic Valve Location Is Not Consistently Determined by the Local Fluid Shear or Its Gradient

Bertram,

Macaskill

2024

Microcirculation

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ObjectiveIntravascular lymphatic valves often occur in proximity to vessel junctions. It is commonly held that disturbed flow at junctions is responsible for accumulation of valve‐forming cells (VFCs) at these locations as the initial step in valve creation, and the one which explains the association with these sites. However, evidence in favor is largely limited to cell culture experiments.MethodsWe acquired images of embryonic lymphatic vascular networks from day E16.5, when VFC accumulation has started but the developing valve has not yet altered the local vessel geometry, stained for Prox1, which co‐localizes with Foxc2. Using finite‐element computational fluid mechanics, we simulated the flow through the networks, under conditions appropriate to this early development stage. Then we correlated the Prox1 distributions with the distributions of simulated fluid shear and shear stress gradient.ResultsAcross a total of 16 image sets, no consistent correlation was found between Prox1 distribution and the local magnitude of fluid shear, or its positive or negative gradient.ConclusionsThis, the first direct semi‐empirical test of the localization hypothesis to interrogate the tissue from in vivo at the critical moment of development, does not support the idea that a feature of the local flow determines valve localization.

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Impact of spatial and temporal stability of flow vortices on vascular endothelial cells

Cited by 2 publications

References 55 publications

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics

Fluid‐Dynamic Modeling of Flow in Embryonic Tissue Indicates That Lymphatic Valve Location Is Not Consistently Determined by the Local Fluid Shear or Its Gradient

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