A novel physics-based model for fast computation of blood flow in coronary arteries
文献类型：期刊论文
| 作者 | Hu, Xiuhua; Liu, Xingli; Wang HP(王洪平); Xu, Lei; Wu, Peng; Zhang, Wenbing; Niu, Zhaozhuo; Zhang, Longjiang; Gao, Qi |
| 刊名 | BIOMEDICAL ENGINEERING ONLINE
 |
| 出版日期 | 2023-06-12 |
| 卷号 | 22期号:1页码:56 |
| 关键词 | Coronary computed tomography angiography Fractional flow reserve Computational fluid dynamics Physics-based fast model |
| DOI | 10.1186/s12938-023-01121-y |
| 英文摘要 | Blood flow and pressure calculated using the currently available methods have shown the potential to predict the progression of pathology, guide treatment strategies and help with postoperative recovery. However, the conspicuous disadvantage of these methods might be the time-consuming nature due to the simulation of virtual interventional treatment. The purpose of this study is to propose a fast novel physics-based model, called FAST, for the prediction of blood flow and pressure. More specifically, blood flow in a vessel is discretized into a number of micro-flow elements along the centerline of the artery, so that when using the equation of viscous fluid motion, the complex blood flow in the artery is simplified into a one-dimensional (1D) steady-state flow. We demonstrate that this method can compute the fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA). 345 patients with 402 lesions are used to evaluate the feasibility of the FAST simulation through a comparison with three-dimensional (3D) computational fluid dynamics (CFD) simulation. Invasive FFR is also introduced to validate the diagnostic performance of the FAST method as a reference standard. The performance of the FAST method is comparable with the 3D CFD method. Compared with invasive FFR, the accuracy, sensitivity and specificity of FAST is 88.6%, 83.2% and 91.3%, respectively. The AUC of FFRFAST is 0.906. This demonstrates that the FAST algorithm and 3D CFD method show high consistency in predicting steady-state blood flow and pressure. Meanwhile, the FAST method also shows the potential in detecting lesion-specific ischemia. |
| 分类号 | 二类 |
| WOS研究方向 | Engineering, Biomedical |
| 语种 | 英语 |
| WOS记录号 | WOS:001002521400001 |
| 其他责任者 | Zhang, LJ (corresponding author), Nanjing Univ, Jinling Hosp, Dept Med Imaging, Med Sch, Nanjing, Jiangsu, Peoples R China. ; Gao, Q (corresponding author), Zhejiang Univ, Inst Fluid Engn, Sch Aeronaut & Astronaut, Hangzhou, Peoples R China. |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/92377]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.{Zhang Longjiang} Nanjing Univ Jinling Hosp Dept Med Imaging Med Sch Nanjing Jiangsu Peoples R China 2.{Zhang Wenbing} Zhejiang Univ Sir Run Run Shaw Hosp Sch Med Dept Cardiol Hangzhou Peoples R China 3.{Xu Lei} Capital Med Univ Beijing Anzhen Hosp Dept Radiol Beijing Peoples R China 4.{Wu Peng} Soochow Univ Biomfg Res Ctr Sch Mech & Elect Engn Suzhou Jiangsu Peoples R China 5.{Gao Qi} Zhejiang Univ Inst Fluid Engn Sch Aeronaut & Astronaut Hangzhou Peoples R China 6.{Wang Hongping} Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing Peoples R China 7.{Liu Xingli} Hangzhou Shengshi Sci & Technol Co Ltd Hangzhou Peoples R China 8.{Hu Xiuhua} Zhejiang Univ Sir Run Run Shaw Hosp Sch Med Dept Radiol Hangzhou Peoples R China 9.{Niu Zhaozhuo} Qingdao Municipal Hosp Dept Cardiac Surg Qingdao Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Xiuhua,Liu, Xingli,Wang HP,et al. A novel physics-based model for fast computation of blood flow in coronary arteries[J]. BIOMEDICAL ENGINEERING ONLINE,2023,22(1):56. |
| APA | Hu, Xiuhua.,Liu, Xingli.,王洪平.,Xu, Lei.,Wu, Peng.,...&Gao, Qi.(2023).A novel physics-based model for fast computation of blood flow in coronary arteries.BIOMEDICAL ENGINEERING ONLINE,22(1),56. |
| MLA | Hu, Xiuhua,et al."A novel physics-based model for fast computation of blood flow in coronary arteries".BIOMEDICAL ENGINEERING ONLINE 22.1(2023):56. |
入库方式： OAI收割
来源：力学研究所
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