論文

査読有り 国際誌
2017年8月

Computational fluid dynamics simulation of the right subclavian artery cannulation.

The Journal of thoracic and cardiovascular surgery
  • Satoshi Numata
  • ,
  • Keiichi Itatani
  • ,
  • Hidetake Kawajiri
  • ,
  • Sachiko Yamazaki
  • ,
  • Keiichi Kanda
  • ,
  • Hitoshi Yaku

154
2
開始ページ
480
終了ページ
487
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.jtcvs.2017.02.073
出版者・発行元
MOSBY-ELSEVIER

OBJECTIVE: The purpose of this study was to evaluate the efficacy of right subclavian artery cannulation using computational fluid dynamics. METHODS: Patient-specific models of the aortic arch were made with 4 patterns (1: normal aorta, 2: ascending aorta aneurysm, 3: distal arch aneurysm, 4: bovine arch) based on the computed tomography images. Right subclavian artery and ascending aorta cannulation models were created to simulate the physiologic pulsatile flow. Perfusion flow through the arterial cannula was set to 2.50 L/min (50% flow), 3.75 L/min (75% flow), and 5.0 L/min (100%), respectively, and a 3-dimensional movie was made of 1 cardiac cycle to evaluate the blood flow. RESULTS: In both 50% and 75% flow simulation with right subclavian artery cannulation, the blood streamline from the right subclavian artery produced retrograde flow of the brachiocephalic artery and antegrade flow of the right common carotid artery throughout the cardiac cycle in all cases. Right subclavian artery flow deflected ascending aorta flow to the descending aorta. Left-side supra-aortic branches were perfused by blood flow from both the right subclavian artery cannula and the aortic valve. The ascending aortic cannulation model showed that blood flow from the aortic valve reached all 3 supra-aortic vessels in systole. CONCLUSIONS: Right subclavian artery cannulation was cerebroprotective, especially on the right side.

リンク情報
DOI
https://doi.org/10.1016/j.jtcvs.2017.02.073
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28483261
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000406775800027&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.jtcvs.2017.02.073
  • ISSN : 0022-5223
  • eISSN : 1097-685X
  • PubMed ID : 28483261
  • Web of Science ID : WOS:000406775800027

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