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- W2923082735 endingPage "031905" @default.
- W2923082735 startingPage "031905" @default.
- W2923082735 abstract "A simple parameter, called the Aneurysm number (An) which is defined as the ratio of transport to vortex time scales, has been shown to classify the flow mode in simplified aneurysm geometries. Our objective is to test the hypothesis that An can classify the flow in patient-specific intracranial aneurysms (IA). Therefore, the definition of this parameter is extended to anatomic geometries by using hydraulic diameter and the length of expansion area in the approximate direction of the flow. The hypothesis is tested using image-based flow simulations in five sidewall and four bifurcation geometries, i.e., if An ≲ 1 (shorter transport time scale), then the fluid is transported across the neck before the vortex could be formed, creating a quasi-stationary shear layer (cavity mode). By contrast, if An ≳ 1 (shorter vortex time scale), a vortex is formed. The results show that if An switches from An ≲ 1 to An ≳ 1, then the flow mode switches from the cavity mode to the vortex mode. However, if An does not switch, then the IAs stay in the same mode. It is also shown that IAs in the cavity mode have significantly lower An, temporal fluctuations of wall shear stress and oscillatory shear index (OSI) compared to the vortex mode (p < 0.01). In addition, OSI correlates with An in each flow mode and with pulsatility index in each IA. This suggests An to be a viable hemodynamic parameter which can be easily calculated without the need for detailed flow measurements/ simulations." @default.
- W2923082735 created "2019-04-01" @default.
- W2923082735 creator A5008179328 @default.
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- W2923082735 date "2019-03-01" @default.
- W2923082735 modified "2023-10-16" @default.
- W2923082735 title "A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries" @default.
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- W2923082735 doi "https://doi.org/10.1063/1.5081451" @default.
- W2923082735 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6436177" @default.
- W2923082735 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30967745" @default.
- W2923082735 hasPublicationYear "2019" @default.
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