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How do coil configuration and packing density influence intra-aneurysmal hemodynamics?
journal contributionposted on 31.10.2019 by HG Morales, Minsuok Kim, EE Vivas, M-C Villa-Uriol, I Larrabide, T Sola, L Guimaraens, AF Frangi
Any type of content formally published in an academic journal, usually following a peer-review process.
BACKGROUND AND PURPOSE: Endovascular coiling is a well-established therapy for treating intracranial aneurysms. Nonetheless, postoperative hemodynamic changes induced by this therapy remain not fully understood. The purpose of this work is to assess the influence of coil configuration and packing density on intra-aneurysmal hemodynamics. MATERIALS AND METHODS: Three 3D rotational angiography images of 3 intracranial aneurysms before and after endovascular coiling were used. For each aneurysm, a 3D representation of the vasculature was obtained after the segmentation of the images. Afterward, a virtual coiling technique was used to treat the aneurysm geometries with coil models. The aneurysms were coiled with 5 packing densities, and each was generated by using 3 coil configurations. Computational fluid dynamics analyses were carried out in both untreated and treated aneurysm geometries. Statistical tests were performed to evaluate the relative effect of coil configuration on local hemodynamics. RESULTS: The intra-aneurysmal blood flow velocity and wall shear stress were diminished as packing density increased. Aneurysmal flow velocity was reduced <50% due to the first inserted coils (packing density <12%) but with a high dependency on coil configuration. Nonsignificant differences (P > .01) were found in the hemodynamics due to coil configuration for high packing densities (near 30%). A damping effect was observed on the intra-aneurysmal blood flow waveform after coiling. CONCLUSIONS: Intra-aneurysmal hemodynamics are altered by coils. Coil configuration might reduce its influence on intra-aneurysmal hemodynamics as the packing density increases until an insignificant influence could be achieved for high packing densities.
CENIT program, as part of CDTEAM and cvREMOD projects funded by the Spanish CDTI
@neurIST Project (IST-2005-027703)
- Mechanical, Electrical and Manufacturing Engineering