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

Author

Listed:
  • Yasuyuki Umeda
  • Fujimaro Ishida
  • Masanori Tsuji
  • Kazuhiro Furukawa
  • Masato Shiba
  • Ryuta Yasuda
  • Naoki Toma
  • Hiroshi Sakaida
  • Hidenori Suzuki

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

Suggested Citation

  • Yasuyuki Umeda & Fujimaro Ishida & Masanori Tsuji & Kazuhiro Furukawa & Masato Shiba & Ryuta Yasuda & Naoki Toma & Hiroshi Sakaida & Hidenori Suzuki, 2017. "Computational fluid dynamics (CFD) using porous media modeling predicts recurrence after coiling of cerebral aneurysms," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    • Handle: RePEc:plo:pone00:0190222
    DOI: 10.1371/journal.pone.0190222
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