Computational fluid dynamics (CFD) using porous media modeling predicts recurrence after coiling of cerebral aneurysms

Yasuyuki Umeda, Fujimaro Ishida, Masanori Tsuji, Kazuhiro Furukawa, Masato Shiba, Ryuta Yasuda, Naoki Toma, Hiroshi Sakaida and Hidenori Suzuki

PLOS ONE, 2017, vol. 12, issue 12, 1-13

Abstract: Objective: This study aimed to predict recurrence after coil embolization of unruptured cerebral aneurysms with computational fluid dynamics (CFD) using porous media modeling (porous media CFD). Method: A total of 37 unruptured cerebral aneurysms treated with coiling were analyzed using follow-up angiograms, simulated CFD prior to coiling (control CFD), and porous media CFD. Coiled aneurysms were classified into stable or recurrence groups according to follow-up angiogram findings. Morphological parameters, coil packing density, and hemodynamic variables were evaluated for their correlations with aneurysmal recurrence. We also calculated residual flow volumes (RFVs), a novel hemodynamic parameter used to quantify the residual aneurysm volume after simulated coiling, which has a mean fluid domain > 1.0 cm/s. Result: Follow-up angiograms showed 24 aneurysms in the stable group and 13 in the recurrence group. Mann-Whitney U test demonstrated that maximum size, dome volume, neck width, neck area, and coil packing density were significantly different between the two groups (P

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0190222

DOI: 10.1371/journal.pone.0190222

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