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作者:

Li Bao (Li Bao.) | Mao Boyan (Mao Boyan.) | Feng Yue (Feng Yue.) | Liu Jincheng (Liu Jincheng.) | Zhao Zhou (Zhao Zhou.) | Duan Mengyao (Duan Mengyao.) | Liu Youjun (Liu Youjun.) (学者:刘有军)

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SCIE PubMed

摘要:

Clinically, fractional flow reserve (FFR)-guided coronary artery bypass grafting (CABG) is more effective than CABG guided by coronary angiography alone. However, no scholars have explained the mechanism from the perspective of hemodynamics. Two patients were clinically selected; their angiography showed 70% coronary stenosis, and the FFRs were 0.7 (patient 1) and 0.95 (patient 2). The FFR non-invasive computational model of the two patients was constructed by a 0-3D coupled multiscaled model, in order to verify that the model can accurately calculate the FFR results. Virtual bypass surgery was performed on these two stenoses, and a CABG multiscaled model was constructed. The flow rate of the graft and the stenosis coronary artery, as well as the wall shear stress (WSS) and the oscillatory shear index (OSI) in the graft were calculated. The non-invasive calculation results of FFR are 0.67 and 0.91, which are close to the clinical results, which proves that our model is accurate. According to the CABG model, the flow ratios of the stenosis coronary artery to the graft of patient 1 and patient 2 were 0.12 and 0.42, respectively. The time-average wall shear stress (TAWSS) results of patient 1 and patient 2 grafts were 2.09 and 2.16 Pa, respectively, and WSS showed uniform distribution on the grafts. The OSI results of patients 1 and 2 grafts were 0.0375 and 0.1264, respectively, and a significantly high OSI region appeared at the anastomosis of patient 2. The FFR value of the stenosis should be considered when performing bypass surgery. When the stenosis of high FFR values is grafted, a high OSI region is created at the graft, especially at the anastomosis. In the long term, this can cause anastomotic blockage and graft failure.

关键词:

coronary artery bypass grafting fractional flow reserve hemodynamics lumped parameter model multiscale model

作者机构:

  • [ 1 ] [Li Bao]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Mao Boyan]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Feng Yue]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Liu Jincheng]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhao Zhou]Cardiac Surgery Department, PeKing University People's Hospital, Beijing, China
  • [ 6 ] [Duan Mengyao]The School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
  • [ 7 ] [Liu Youjun]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing, China

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来源 :

Frontiers in physiology

ISSN: 1664-042X

年份: 2021

卷: 12

页码: 503687

4 . 0 0 0

JCR@2022

ESI学科: BIOLOGY & BIOCHEMISTRY;

ESI高被引阀值:7

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WoS核心集被引频次: 0

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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