Literature DB >> 27702878

Functional assessment of cerebral artery stenosis: A pilot study based on computational fluid dynamics.

Jia Liu1, Zhengzheng Yan1, Yuehua Pu2, Wen-Shin Shiu1, Jianhuang Wu1, Rongliang Chen1, Xinyi Leng3, Haiqiang Qin2, Xin Liu2, Baixue Jia2, Ligang Song2, Yilong Wang2, Zhongrong Miao2, Yongjun Wang2, Liping Liu2, Xiao-Chuan Cai1,4.   

Abstract

The fractional pressure ratio is introduced to quantitatively assess the hemodynamic significance of severe intracranial stenosis. A computational fluid dynamics-based method is proposed to non-invasively compute the FPRCFD and compared against fractional pressure ratio measured by an invasive technique. Eleven patients with severe intracranial stenosis considered for endovascular intervention were recruited and an invasive procedure was performed to measure the distal and the aortic pressure ( Pd and Pa). The fractional pressure ratio was calculated as [Formula: see text]. The computed tomography angiography was used to reconstruct three-dimensional (3D) arteries for each patient. Cerebral hemodynamics was then computed for the arteries using a mathematical model governed by Navier-Stokes equations and with the outflow conditions imposed by a model of distal resistance and compliance. The non-invasive [Formula: see text], [Formula: see text], and FPRCFD were then obtained from the computational fluid dynamics calculation using a 16-core parallel computer. The invasive and non-invasive parameters were tested by statistical analysis. For this group of patients, the computational fluid dynamics method achieved comparable results with the invasive measurements. The fractional pressure ratio and FPRCFD are very close and highly correlated, but not linearly proportional, with the percentage of stenosis. The proposed computational fluid dynamics method can potentially be useful in assessing the functional alteration of cerebral stenosis.

Entities:  

Keywords:  Stroke; and brain ischemia; cerebral blood flow; cerebral hemodynamics; mathematical modelling

Mesh:

Year:  2016        PMID: 27702878      PMCID: PMC5531352          DOI: 10.1177/0271678X16671321

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  27 in total

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Review 4.  Evaluating intracranial atherosclerosis rather than intracranial stenosis.

Authors:  Xinyi Leng; Ka Sing Wong; David S Liebeskind
Journal:  Stroke       Date:  2014-01-07       Impact factor: 7.914

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7.  On coupling a lumped parameter heart model and a three-dimensional finite element aorta model.

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Authors:  Mi-Hye Lim; Young I Cho; Seul-Ki Jeong
Journal:  Stroke       Date:  2009-07-23       Impact factor: 7.914

9.  Fractional Flow Assessment for the Evaluation of Intracranial Atherosclerosis: A Feasibility Study.

Authors:  ZhongRong Miao; David S Liebeskind; WaiTing Lo; LiPing Liu; YueHua Pu; XinYi Leng; LiGang Song; XiaoTong Xu; BaiXue Jia; Feng Gao; DaPeng Mo; Xuan Sun; Lian Liu; Ning Ma; Bo Wang; YiLong Wang; YongJun Wang
Journal:  Interv Neurol       Date:  2016-04-01

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Review 1.  Physiome approach for the analysis of vascular flow reserve in the heart and brain.

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2.  Cerebral Fractional Flow Reserve for Functional Evaluation of Intracranial Atherosclerotic Stenosis.

Authors:  Ming Wang; Xiaochang Leng; Jiong Wu; Yuhai Gao; Jens Fiehler; Adnan H Siddiqui; Jianping Xiang; Sravanthi Koduri; Shu Wan
Journal:  Transl Stroke Res       Date:  2022-05-30       Impact factor: 6.829

3.  Sustaining cerebral perfusion in intracranial atherosclerotic stenosis: The roles of antegrade residual flow and leptomeningeal collateral flow.

Authors:  Linfang Lan; Xinyi Leng; Vincent Ip; Yannie Soo; Jill Abrigo; Haipeng Liu; Florence Fan; Sze Ho Ma; Karen Ma; Bonaventure Ym Ip; Ka Lung Chan; Vincent Ct Mok; David S Liebeskind; Ka Sing Wong; Thomas W Leung
Journal:  J Cereb Blood Flow Metab       Date:  2018-10-23       Impact factor: 6.200

4.  Intracranial artery stenosis: Current status of evaluation and treatment in China.

Authors:  Bin Cai; Bin Peng
Journal:  Chronic Dis Transl Med       Date:  2017-11-14

5.  Characteristics of Wall Shear Stress and Pressure of Intracranial Atherosclerosis Analyzed by a Computational Fluid Dynamics Model: A Pilot Study.

Authors:  Zimo Chen; Haiqiang Qin; Jia Liu; Bokai Wu; Zaiheng Cheng; Yong Jiang; Liping Liu; Lina Jing; Xinyi Leng; Jing Jing; Yilong Wang; Yongjun Wang
Journal:  Front Neurol       Date:  2020-01-17       Impact factor: 4.003

6.  Middle cerebral artery pressure laterality in patients with symptomatic ICA stenosis.

Authors:  Madelene Holmgren; Karen-Helene Støverud; Laleh Zarrinkoob; Anders Wåhlin; Jan Malm; Anders Eklund
Journal:  PLoS One       Date:  2021-01-08       Impact factor: 3.240

7.  Functional Assessment of Cerebral Artery Stenosis by Angiography-Based Quantitative Flow Ratio: A Pilot Study.

Authors:  Kangmo Huang; Weihe Yao; Juan Du; Fang Wang; Yunfei Han; Yunxiao Chang; Rui Liu; Ruidong Ye; Wusheng Zhu; Shengxian Tu; Xinfeng Liu
Journal:  Front Aging Neurosci       Date:  2022-02-01       Impact factor: 5.750

8.  Hemodynamic and Geometric Risk Factors for In-Stent Restenosis in Patients with Intracranial Atherosclerotic Stenosis.

Authors:  Xiaowen Song; Hancheng Qiu; Shuo Wang; Yong Cao; Jizong Zhao
Journal:  Oxid Med Cell Longev       Date:  2022-07-27       Impact factor: 7.310

9.  Establishment and assessment of the hepatic venous pressure gradient using biofluid mechanics (HVPGBFM): protocol for a prospective, randomised, non-controlled, multicentre study.

Authors:  Jia-Yun Lin; Chi-Hao Zhang; Lei Zheng; Hui-Song Chen; Hong-Jie Li; Yi-Ming Zhu; Xiao Fan; Feng Li; Yan Xia; Ming-Zhe Huang; Sun-Hu Yang; Xiao-Liang Qi; Hai-Zhong Huo; Xiao-Lou Lou; Meng Luo
Journal:  BMJ Open       Date:  2019-12-03       Impact factor: 2.692

10.  Assessment of a biofluid mechanics-based model for calculating portal pressure in canines.

Authors:  Jia-Yun Lin; Chi-Hao Zhang; Lei Zheng; Chen-Lu Song; Wen-Sheng Deng; Yi-Ming Zhu; Li Zheng; Li-Zhong Wu; Long-Ci Sun; Meng Luo
Journal:  BMC Vet Res       Date:  2020-08-26       Impact factor: 2.741

  10 in total

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