論文

国際誌
2022年

Role of patient-specific blood properties in computational fluid dynamics simulation of flow diverter deployed cerebral aneurysms.

Technology and health care : official journal of the European Society for Engineering and Medicine
  • Yuya Uchiyama
  • Soichiro Fujimura
  • Hiroyuki Takao
  • Takashi Suzuki
  • Toshihiro Ishibashi
  • Katharina Otani
  • Kostadin Karagiozov
  • Koji Fukudome
  • Hideki Yamamoto
  • Makoto Yamamoto
  • Yuichi Murayama
  • 全て表示

30
4
開始ページ
839
終了ページ
850
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3233/THC-213216

BACKGROUND: Hemodynamics and their clinical outcome of cerebral aneurysms treated with flow diverter (FD) stents have thus far been investigated using computational fluid dynamics (CFD) simulations. Although human blood is characterized as a non-Newtonian patientspecific fluid, non-patient-specific blood properties (PSBP) were applied in most extant studies. OBJECTIVE: To investigate the hemodynamic effects caused by PSBPs in aneurysms treated with FD stents. METHODS: We measured blood properties (density and viscosity) for 12 patients who underwent FD stent deployment. We conducted CFD simulations with the measured PSBPs and non-PSBPs quoted from previous studies. The average blood flow velocity and wall shear stress within the aneurysms were calculated and two simulation patterns were compared. RESULTS: The velocity and wall shear stress changed by 2.93% and 3.16% on average, respectively, without an FD stent deployed. Conversely, with the FD stents deployed, the change rates increased to 11.1% and 9.06% on average, respectively. CONCLUSIONS: The change in hemodynamic parameters if PSBPs are considered, may not be negligible when conducting CFD simulations of FD stent deployed aneurysms To obtain an adequate hemodynamic environment for cerebral aneurysms with FD stents deployed, it is recommended to use PSBPs for CFD simulations.

リンク情報
DOI
https://doi.org/10.3233/THC-213216
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/35068427
ID情報
  • DOI : 10.3233/THC-213216
  • PubMed ID : 35068427

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