Background: Endovascular intervention using a stent is a mainstream treatment for\ncerebral aneurysms. To assess the effect of intervention strategies on aneurysm hemodynamics,\nwe have developed a fast virtual stenting (FVS) technique to simulate stent\ndeployment in patient-specific aneurysms. However, quantitative validation of the FVS\nagainst experimental data has not been fully addressed. In this study, we performed\nin vitro analysis of a patient-specific model to illustrate the realism and usability of this\nnovel FVS technique.\nMethods: We selected a patient-specific aneurysm and reproduced it in a manufactured\nrealistic aneurismal phantom. Three numerical simulation models of the aneurysm\nwith an Enterprise stent were constructed. Three models were constructed to\nobtain the stented aneurysms: a physical phantom scanned by micro-CT, fast virtual\nstenting technique and finite element method. The flow in the three models was simulated\nusing a computational fluid dynamics software package, and the hemodynamics\nparameters for the three models were calculated and analyzed.\nResults: The computational hemodynamics in the patient-specific aneurysm of the\nthree models resembled the very well. A qualitative comparison revealed high similarity\nin the wall shear stress, streamline, and velocity plane among the three different\nmethods. Quantitative comparisons revealed that the difference ratios of the hemodynamic\nparameters were less than 10%, with the difference ratios for area average of\nwall shear stress in the aneurysm being very low.\nConclusions: In conclusion, the results of the computational hemodynamics indicate\nthat FVS is suitable for evaluation of the hemodynamic factors that affect treatment\noutcomes.
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