Objective: This study was designed to develop a new hemodynamic parameter on the computational fluid dynamics (CFD) analysis using porous media modeling to predict the angiographic occlusion status after coil embolization of unruptured cerebral aneurysms preoperatively.
Method: From September 2009 to June 2013, we treated 20 unruptured cerebral aneurysms with intra-aneurysm coil embolization. Aneurysms were classified into complete occlusion (n=11) or residual flow (n=9) groups based on the angiographic appearance performed at 6–12 months post-coiling. For each aneurysm, a preoperative patient-specific geometry was obtained after segmentation using the DICOM dataset of 3D rotation angiography or 3D CT angiography. With the assumption that coil fibers were randomly distributed in the dome, filtration of blood through a virtual coil-filled aneurysm was described by Darcy's law (porous media modeling), and a new hemodynamic parameter, residual flow volume (RFV), was calculated using CFD analyses. Other hemodynamic parameters such as wall shear stress (WSS) and inflow area (IFA) were also calculated by the CFD analysis. The CFD simulation was achieved using both pre-coiling aneurysm models and virtual coil-filled aneurysm models (porous media modeling). Morphological parameters, volume embolization ratio (VER), and hemodynamic parameters were compared between the complete occlusion and residual flow groups. The area under the receiver operating characteristic (ROC) curve (AUC) was used to examine the diagnostic accuracy to predict the 6–12-month post-coiling angiographic results of aneurysms.
Result: There were no significant differences in VER and WSS between the two groups. Among morphological parameters, neck diameter (P=0.020) and neck area (P=0.025) were significantly larger in the residual flow group. Among hemodynamic parameters, IFA in the pre-coiling aneurysm model (P=0.014) and RFV in the coil-filled aneurysm model (P=0.011) were significantly larger in the residual flow group. The ROC analyses showed that RFV with an average flow velocity of more than 1.0 cm/sec in the aneurysm dome (RFV
1.0) was useful to predict the post-coiling aneurysm occlusion status (AUC, 0.84 [95% confidence interval, 0.64–1.00]; cut-off value, 10.6 mm
3; sensitivity, 100%; and specificity, 63.6%).
Conclusion: CFD analysis using porous media simulation may be useful to predict the post-coiling aneurysm-occlusion status. This study proposed a new hemodynamic parameter, RFV
1.0, on the CFD analysis, which potentially affects the treatment strategy because the parameter can be simulated before coiling of aneurysms.
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