Literature DB >> 24549189

Effect of porous media of the stenosed artery wall to the coronary physiological diagnostic parameter: a computational fluid dynamic analysis.

Kalimuthu Govindaraju1, Sarfaraz Kamangar2, Irfan Anjum Badruddin2, Girish N Viswanathan3, A Badarudin2, N J Salman Ahmed2.   

Abstract

Functional assessment of a coronary artery stenosis severity is generally assessed by fractional flow reserve (FFR), which is calculated from pressure measurements across the stenosis. The purpose of this study is to investigate the effect of porous media of the stenosed arterial wall on this diagnostic parameter. To understand the role of porous media on the diagnostic parameter FFR, a 3D computational simulations of the blood flow in rigid and porous stenotic artery wall models are carried out under steady state and transient conditions for three different percentage area stenoses (AS) corresponding to 70% (moderate), 80% (intermediate), and 90% (severe). Blood was modeled as a non Newtonian fluid. The variations of pressure drop across the stenosis and diagnostic parameter were studied in both models. The FFR decreased in proportion to the increase in the severity of the stenosis. The relationship between the percentage AS and the FFR was non linear and inversely related in both the models. The cut-off value of 0.75 for FFR was observed at 81.89% AS for the rigid artery model whereas 83.61% AS for the porous artery wall model. This study demonstrates that the porous media consideration on the stenotic arterial wall plays a substantial role in defining the cut-off value of FFR. We conclude that the effect of porous media on FFR, could lead to misinterpretation of the functional severity of the stenosis in the region of 81.89 %-83.61% AS.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Blood flow; Computational fluid dynamics; Coronary disease; FFR; Porosity and permeability; Stenosis

Mesh:

Year:  2014        PMID: 24549189     DOI: 10.1016/j.atherosclerosis.2014.01.043

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  5 in total

1.  Patient-specific 3D hemodynamics modelling of left coronary artery under hyperemic conditions.

Authors:  Sarfaraz Kamangar; Irfan Anjum Badruddin; Kalimuthu Govindaraju; N Nik-Ghazali; A Badarudin; Girish N Viswanathan; N J Salman Ahmed; T M Yunus Khan
Journal:  Med Biol Eng Comput       Date:  2016-12-21       Impact factor: 2.602

2.  A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice.

Authors:  Navid Mohammad Mirzaei; Zuzana Tatarova; Wenrui Hao; Navid Changizi; Alireza Asadpoure; Ioannis K Zervantonakis; Yu Hu; Young Hwan Chang; Leili Shahriyari
Journal:  J Pers Med       Date:  2022-05-17

3.  Numerical investigation of the effect of stenosis geometry on the coronary diagnostic parameters.

Authors:  Sarfaraz Kamangar; Govindaraju Kalimuthu; Irfan Anjum Badruddin; A Badarudin; N J Salman Ahmed; T M Yunus Khan
Journal:  ScientificWorldJournal       Date:  2014-09-01

4.  Numerical investigation of the blood flow through the middle cerebral artery.

Authors:  Seyed Esmail Razavi; Vahid Farhangmehr; Nafiseh Zendeali
Journal:  Bioimpacts       Date:  2018-05-10

5.  Comparison Between 5- and 1-Year Outcomes Using Cutoff Values of Pressure Drop Coefficient and Fractional Flow Reserve for Diagnosing Coronary Artery Diseases.

Authors:  Rupak K Banerjee; Sruthi Ramadurai; Shreyash M Manegaonkar; Marepalli B Rao; Sathyaprabha Rakkimuthu; Mohamed A Effat
Journal:  Front Physiol       Date:  2021-07-14       Impact factor: 4.566

  5 in total

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