| A novel physics-based model for fast computation of blood flow in coronary arteries | |
| Hu, Xiuhua; Liu, Xingli; Wang HP(王洪平); Xu, Lei; Wu, Peng; Zhang, Wenbing; Niu, Zhaozhuo; Zhang, Longjiang; Gao, Qi | |
| Source Publication | BIOMEDICAL ENGINEERING ONLINE
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| 2023-06-12 | |
| Volume | 22Issue:1Pages:56 |
| Abstract | 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. |
| Keyword | Coronary computed tomography angiography Fractional flow reserve Computational fluid dynamics Physics-based fast model |
| DOI | 10.1186/s12938-023-01121-y |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001002521400001 |
| WOS Research Area | Engineering, Biomedical |
| Classification | 二类 |
| Ranking | 3 |
| Contributor | 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. |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/92377 |
| Collection | 非线性力学国家重点实验室 |
| Affiliation | 1.{Hu Xiuhua} Zhejiang Univ Sir Run Run Shaw Hosp Sch Med Dept Radiol Hangzhou Peoples R China 2.{Liu Xingli} Hangzhou Shengshi Sci & Technol Co Ltd Hangzhou Peoples R China 3.{Wang Hongping} Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing Peoples R China 4.{Xu Lei} Capital Med Univ Beijing Anzhen Hosp Dept Radiol Beijing Peoples R China 5.{Wu Peng} Soochow Univ Biomfg Res Ctr Sch Mech & Elect Engn Suzhou Jiangsu Peoples R China 6.{Zhang Wenbing} Zhejiang Univ Sir Run Run Shaw Hosp Sch Med Dept Cardiol Hangzhou Peoples R China 7.{Niu Zhaozhuo} Qingdao Municipal Hosp Dept Cardiac Surg Qingdao Peoples R China 8.{Zhang Longjiang} Nanjing Univ Jinling Hosp Dept Med Imaging Med Sch Nanjing Jiangsu Peoples R China 9.{Gao Qi} Zhejiang Univ Inst Fluid Engn Sch Aeronaut & Astronaut Hangzhou Peoples R China |
| Recommended Citation 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.Rp_Au: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. |
| 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. |
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| Jp2023A030.pdf（2772KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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