Literature DB >> 27522378

A patient-specific virtual stenotic model of the coronary artery to analyze the relationship between fractional flow reserve and wall shear stress.

Kyung Eun Lee1, Gook Tae Kim1, Jeong Sang Lee2, Ju-Hyun Chung3, Eun-Seok Shin3, Eun Bo Shim4.   

Abstract

OBJECTIVE: As the stenotic severity of a patient increases, fractional flow reserve (FFR) decreases, whereas the maximum wall shear stress (WSSmax) increases. However, the way in which these values can change according to stenotic severity has not previously been investigated. The aim of this study is to devise a virtual stenosis model to investigate variations in the coronary hemodynamic parameters of patients according to stenotic severity.
METHODS: To simulate coronary hemodynamics, a three-dimensional (3D) coronary artery model of computational fluid dynamics is coupled with a lumped parameter model of the coronary micro-vasculature and venous system.
RESULTS: To validate the present method, we first simulated 13 patient-specific models of the coronary arteries and compared the results with those obtained clinically. Then, virtually narrowed coronary arterial models derived from the patient-specific cases were simulated to obtain the WSSmax and FFR values. The variations in FFR and WSSmax against the percentage of diameter stenosis in clinical cases were reproducible by the virtual stenosis models. We also found that the simulated FFR values were linearly correlated with the WSSmax values, but the linear slope varied by patient.
CONCLUSION: We implemented 130 additional virtual models of stenosed coronary arteries based on data from 13 patients and obtained statistically meaningful results that were identical to the large-scale clinical studies. And the slope of the correlation line between FFR and WSSmax may help clinicians to design treatment plans for patients.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Coronary artery hemodynamics; Fractional flow reserve; Physiological simulation; Virtual stenosis model; Wall shear stress

Mesh:

Year:  2016        PMID: 27522378     DOI: 10.1016/j.ijcard.2016.07.153

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

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

Authors:  Kyung Eun Lee; Ah-Jin Ryu; Eun-Seok Shin; Eun Bo Shim
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2.  Coronary flow disturbance assessed by vorticity as a cause of functionally significant stenosis.

Authors:  Nobuo Tomizawa; Yui Nozaki; Shinichiro Fujimoto; Daigo Takahashi; Ayako Kudo; Yuki Kamo; Chihiro Aoshima; Yuko Kawaguchi; Kazuhisa Takamura; Makoto Hiki; Tomotaka Dohi; Shinya Okazaki; Kanako K Kumamaru; Tohru Minamino; Shigeki Aoki
Journal:  Eur Radiol       Date:  2022-07-02       Impact factor: 7.034

3.  Computational fluid dynamic study of different incision length of coronary artery bypass grafting in a native coronary stenosis model.

Authors:  Kaoru Matsuura; Wei Wei Jin; Hao Liu; Goro Matsumiya
Journal:  J Thorac Dis       Date:  2019-02       Impact factor: 2.895

4.  Plaque Characteristics and Ruptured Plaque Location according to Lesion Geometry in Culprit Lesions of ST-Segment Elevation Myocardial Infarction.

Authors:  Ju Hyun Chung; Joo Myung Lee; Ae Young Her; Heeyoun Cho; Joon Hyung Doh; Chang Wook Nam; Hyung Il Kim; Bon Kwon Koo; Eun Seok Shin
Journal:  Korean Circ J       Date:  2017-10-26       Impact factor: 3.243

5.  A vessel length-based method to compute coronary fractional flow reserve from optical coherence tomography images.

Authors:  Kyung Eun Lee; Seo Ho Lee; Eun-Seok Shin; Eun Bo Shim
Journal:  Biomed Eng Online       Date:  2017-06-26       Impact factor: 2.819

6.  Prediction of Plaque Progression in Coronary Arteries Based on a Novel Hemodynamic Index Calculated From Virtual Stenosis Method.

Authors:  Kyung Eun Lee; Sung Woong Shin; Gook Tae Kim; Jin Ho Choi; Eun Bo Shim
Journal:  Front Physiol       Date:  2019-05-09       Impact factor: 4.566

7.  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

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

  8 in total

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