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Liu B, Zhao J, Chen X, Fang K, Yang W, Zhang X, Shu C. Hemodynamic analysis of unilateral and bilateral renal artery stenosis based on fluid-structure interaction. Comput Methods Biomech Biomed Engin 2023:1-12. [PMID: 38009048 DOI: 10.1080/10255842.2023.2282949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/07/2023] [Indexed: 11/28/2023]
Abstract
Renal artery stenosis (RAS) hypertension is a common type of secondary hypertension. This paper aimed to explore how unilateral renal artery stenosis (Uni-RAS) and bilateral renal artery stenosis (Bi-RAS) caused renovascular hypertension with the fluid-structure interaction (FSI) method. Based on a real RAS model, 20 ideal models with different stenosis degrees were established by modifying the stenosis segment. The hemodynamic parameters at different degrees of stenosis, mass flow rate (MFR), pressure drop (PD), fractional flow reserve (FFR), oscillatory shear index (OSI), and relative residence time (RRT), were numerically calculated by the computational fluid dynamics (CFD) method. The numerical results showed that RAS caused the decrease of MFR, and the increase of PD and the proportion of high OSI and high RRT. In the case of RAS, it could not be regarded as a reference indicator for causing renovascular hypertension that the value of FFR was greater than 0.9. In addition, the results of the statistical analysis indicated that Uni-RAS and Bi-RAS were statistically different for MFR, PD and the proportion of high RRT.
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Affiliation(s)
- Bingxin Liu
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China
| | - Jiawei Zhao
- Department of Vascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuehui Chen
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China
| | - Kun Fang
- Department of Vascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weidong Yang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China
| | - Xuelan Zhang
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China
| | - Chang Shu
- Department of Vascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Yong D, Minjie C, Yujie Z, Jianli W, Ze L, Pengfei L, Xiangling L, Xiujian L, Javier DS. Diagnostic performance of IVUS-FFR analysis based on generative adversarial network and bifurcation fractal law for assessing myocardial ischemia. Front Cardiovasc Med 2023; 10:1155969. [PMID: 37020517 PMCID: PMC10067879 DOI: 10.3389/fcvm.2023.1155969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/20/2023] [Indexed: 03/22/2023] Open
Abstract
BackgroundIVUS-based virtual FFR (IVUS-FFR) can provide additional functional assessment information to IVUS imaging for the diagnosis of coronary stenosis. IVUS image segmentation and side branch blood flow can affect the accuracy of virtual FFR. The purpose of this study was to evaluate the diagnostic performance of an IVUS-FFR analysis based on generative adversarial networks and bifurcation fractal law, using invasive FFR as a reference.MethodIn this study, a total of 108 vessels were retrospectively collected from 87 patients who underwent IVUS and invasive FFR. IVUS-FFR was performed by analysts who were blinded to invasive FFR. We evaluated the diagnostic performance and computation time of IVUS-FFR, and compared it with that of the FFR-branch (considering side branch blood flow by manually extending the side branch from the bifurcation ostia). We also compared the effects of three bifurcation fractal laws on the accuracy of IVUS-FFR.ResultThe diagnostic accuracy, sensitivity, and specificity for IVUS-FFR to identify invasive FFR≤0.80 were 90.7% (95% CI, 83.6–95.5), 89.7% (95% CI, 78.8–96.1), 92.0% (95% CI, 80.8–97.8), respectively. A good correlation and agreement between IVUS-FFR and invasive FFR were observed. And the average computation time of IVUS-FFR was shorter than that of FFR-branch. In addition to this, we also observe that the HK model is the most accurate among the three bifurcation fractal laws.ConclusionOur proposed IVUS-FFR analysis correlates and agrees well with invasive FFR and shows good diagnostic performance. Compared with FFR-branch, IVUS-FFR has the same level of diagnostic performance with significantly lower computation time.
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Affiliation(s)
- Dong Yong
- Department of Cardiology, the 7th People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Chen Minjie
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
| | - Zhao Yujie
- Department of Cardiology, the 7th People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Wang Jianli
- Department of Cardiology, the 7th People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Liu Ze
- Department of Cardiology, the 7th People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Li Pengfei
- Department of Cardiology, the 7th People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Lai Xiangling
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
| | - Liu Xiujian
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China
- Correspondence: Xiujian Liu
| | - Del Ser Javier
- TECNALIA, Basque Research & Technology Alliance (BRTA), Derio, Spain
- University of the Basque Country (UPV/EHU), Bilbao, Spain
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Hong Z, Liu X, Ding H, Zhao P, Gong S, Wang Z, Ghista D, Fan J. Flow patterns in the venous sinus of pulsatile tinnitus patients with transverse sinus stenosis and underlying vortical flow as a causative factor. Comput Methods Programs Biomed 2022; 227:107203. [PMID: 36370596 DOI: 10.1016/j.cmpb.2022.107203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Transverse sinus stenosis (TSS) is commonly found in Pulsatile Tinnitus (PT) patients. Vortex flow is prominent in venous sinus with stenosis, and so it is important to determine the distribution and strength of the vortical flow to understand its influence on the occurrence of PT. METHODS In this study, by using computational fluid dynamics for hemodynamic analysis in patient-specific geometries based on Magnetic Resonance Imaging (MRI), we have investigated the blood flow within the venous sinus of 16 subjects with PT. We have employed both laminar and turbulent flow models for simulations, to obtain (i) streamlines of velocity distribution in the venous sinus, and (ii) pressure distributions of flow patterns in the venous sinus. Then, hemodynamic analysis in the venous sinus recirculation zone was carried out, to determine the flow patterns at the junction of transverse sinuses and sigmoid sinuses. Finally, we have proposed a new model for turbulence evaluation based on the regression analysis of anatomic and hemodynamics parameters. RESULTS Correlation analysis between the anatomical parameters and the hemodynamic parameters has shown that stenosis at the transverse sinus was the main factor in the local hemodynamics variation in the venous sinus of patients; in this context, it is shown that vorticity can be used as a prime indicator of the severity of the stenosis function. Our results have shown a significant correlation between the vorticity and the stenotic maximum velocity (SMV) (r = 0.282, p = 0.004). Then, a parameterized prediction model is proposed to determine the vorticity in terms of flow and anatomic variables, termed as the turbulence eddy prediction model (TEP model). Our result have shown that the TEP model is sensitive to the dominant flow distribution, with a high correlation to the flow-based vorticity (r = 0.809, p = 0.009). CONCLUSIONS The quantification of the vorticity (as both vorticity and MVV) in the downstream of TSS could be a marker for indication of turbulent energy at the transverse-sigmoid sinus, which could potentially serve as a hemodynamic marker for the functional assessment of the PT-related TSS.
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Affiliation(s)
- Zhenxin Hong
- Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China
| | - Xin Liu
- Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China; Guangdong Academy Research on VR Industry, Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China
| | - Heyu Ding
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yongan Road, Xicheng District, Beijing 100050, China
| | - Pengfei Zhao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yongan Road, Xicheng District, Beijing 100050, China
| | - Shusheng Gong
- Department of Otolaryngology Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, No. 95, Yongan Road, Xicheng District, Beijing 100050, China
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yongan Road, Xicheng District, Beijing 100050, China.
| | | | - Jinsong Fan
- Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China.
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Wang L, Wang J, Chen Q, Li Q, Mendieta JB, Li Z. How getting twisted in scaffold design can promote bone regeneration: A fluid-structure interaction evaluation. J Biomech 2022; 145:111359. [PMID: 36334321 DOI: 10.1016/j.jbiomech.2022.111359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 10/02/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022]
Abstract
Bone tissue engineering (BTE) uses engineering principles to repair large bone defects, which requires effective mass transport ability of scaffolds to support cellular activities during bone regeneration. Since the implanted BTE scaffolds keep deforming under physiological loading which influences the fluid flow and mass transport within the scaffold and surrounding tissue, thus, scaffold design needs to consider the mass transport behavior under the physiological loading. This work proposed a novel twist scaffold, and its mass transport efficiency under physiological loading conditions was evaluated by a fluid-structure interaction analysis. The results showed that compared to the non-twist scaffold, the twist scaffold could form a rotating flow under the physiological loading, which enhanced the mass transport and generated more appropriate wall shear stress (WSS) to promote bone regeneration. This highlighted the better mass transport efficiency of the twist scaffold. Therefore, getting twist may be a promising design strategy for future BTE scaffolds, and the fluid-structure interaction approach may be a more reliable method for bone regeneration studies in either in vivo or in vitro systems.
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Affiliation(s)
- Luping Wang
- School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Jiaqiu Wang
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Qiang Chen
- School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
| | - Qiwei Li
- School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Jessica Benitez Mendieta
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Zhiyong Li
- School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
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