Literature DB >> 27052093

The influence of artery wall curvature on the anatomical assessment of stenosis severity derived from fractional flow reserve: a computational fluid dynamics study.

Kalimuthu Govindaraju1, Girish N Viswanathan2,3, Irfan Anjum Badruddin4, Sarfaraz Kamangar4, N J Salman Ahmed5, Abdullah A A A Al-Rashed6.   

Abstract

This study aims to investigate the influence of artery wall curvature on the anatomical assessment of stenosis severity and to identify a region of misinterpretation in the assessment of per cent area stenosis (AS) for functionally significant stenosis using fractional flow reserve (FFR) as standard. Five artery models of different per cent AS severity (70, 75, 80, 85 and 90%) were considered. For each per cent AS severity, the angle of curvature of the arterial wall varied from straight to an increasingly curved model (0°, 30°, 60°, 90° and 120°). Computational fluid dynamics was performed under transient physiologic hyperemic flow conditions to investigate the influence of artery wall curvature on the pressure drop and the FFR. The findings in this study may be useful in in vitro anatomical assessment of functionally significant stenosis. The FFR decreased with increasing stenosis severity for a given curvature of the artery wall. Moreover, a significant decrease in FFR was found between straight and curved models discussed for a given severity condition. These findings indicate that the curvature effect was included in the FFR assessment in contrast to minimum lumen area (MLA) or per cent AS assessment. The MLA or per cent AS assessment may lead to underestimation of stenosis severity. From this numerical study, an uncertainty region could be evaluated using the clinical FFR cutoff value of 0.8. This value was observed at 81.98 and 79.10% AS for arteries with curvature angles of 0° and 120° respectively. In conclusion, the curvature of the artery should not be neglected in in vitro anatomical assessment.

Entities:  

Keywords:  Straight and curved arteries; anatomical assessment; computational fluid dynamics; fractional flow reserve

Mesh:

Year:  2016        PMID: 27052093     DOI: 10.1080/10255842.2016.1170119

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  3 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.  Coronary artery decision algorithm trained by two-step machine learning algorithm.

Authors:  Young Woo Kim; Hee-Jin Yu; Jung-Sun Kim; Jinyong Ha; Jongeun Choi; Joon Sang Lee
Journal:  RSC Adv       Date:  2020-01-24       Impact factor: 4.036

3.  Relationship between FFR, CFR and coronary microvascular resistance - Practical implications for FFR-guided percutaneous coronary intervention.

Authors:  Damien Garcia; Brahim Harbaoui; Tim P van de Hoef; Martijn Meuwissen; Sukhjinder S Nijjer; Mauro Echavarria-Pinto; Justin E Davies; Jan J Piek; Pierre Lantelme
Journal:  PLoS One       Date:  2019-01-07       Impact factor: 3.240

  3 in total

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