Literature DB >> 22704601

Evaluation of functional severity of coronary artery disease and fluid dynamics' influence on hemodynamic parameters: A review.

Kalimuthu Govindaraju1, Irfan Anjum Badruddin, Girish N Viswanathan, S V Ramesh, A Badarudin.   

Abstract

Coronary Artery Disease (CAD) is responsible for most of the deaths in patients with cardiovascular diseases. Diagnostic coronary angiography analysis offers an anatomical knowledge of the severity of the stenosis. The functional or physiological significance is more valuable than the anatomical significance of CAD. Clinicians assess the functional severity of the stenosis by resorting to an invasive measurement of the pressure drop and flow. Hemodynamic parameters, such as pressure wire assessment fractional flow reserve (FFR) or Doppler wire assessment coronary flow reserve (CFR) are well-proven techniques to evaluate the physiological significance of the coronary artery stenosis in the cardiac catheterization laboratory. Between the two techniques mentioned above, the FFR is seen as a very useful index. The presence of guide wire reduces the coronary flow which causes the underestimation of pressure drop across the stenosis which leads to dilemma for the clinicians in the assessment of moderate stenosis. In such condition, the fundamental fluid mechanics is useful in the development of new functional severity parameters such as pressure drop coefficient and lesion flow coefficient. Since the flow takes place in a narrowed artery, the blood behaves as a non-Newtonian fluid. Computational fluid dynamics (CFD) allows a complete coronary flow simulation to study the relationship between the pressure and flow. This paper aims at explaining (i) diagnostic modalities for the evaluation of the CAD and valuable insights regarding FFR in the evaluation of the functional severity of the CAD (ii) the role of fluid dynamics in measuring the severity of CAD.
Copyright © 2012 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22704601     DOI: 10.1016/j.ejmp.2012.03.008

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  6 in total

Review 1.  Extraction of Coronary Atherosclerotic Plaques From Computed Tomography Imaging: A Review of Recent Methods.

Authors:  Haipeng Liu; Aleksandra Wingert; Jian'an Wang; Jucheng Zhang; Xinhong Wang; Jianzhong Sun; Fei Chen; Syed Ghufran Khalid; Jun Jiang; Dingchang Zheng
Journal:  Front Cardiovasc Med       Date:  2021-02-10

2.  Fractional Flow in Cerebrovascular Disorders.

Authors:  David S Liebeskind; Edward Feldmann
Journal:  Interv Neurol       Date:  2013-03-01

3.  Increase in ultrasonic intensity of blood speckle across moderate coronary artery stenosis is an independent predictor of functional coronary artery stenosis measured by fractional flow reserve: pilot study.

Authors:  Jun Tanno; Shintaro Nakano; Takatoshi Kasai; Junya Ako; Sunao Nakamura; Takaaki Senbonmatsu; Shigeyuki Nishimura
Journal:  PLoS One       Date:  2015-01-21       Impact factor: 3.240

4.  3D reconstruction of coronary arteries from 2D angiographic projections using non-uniform rational basis splines (NURBS) for accurate modelling of coronary stenoses.

Authors:  Francesca Galassi; Mohammad Alkhalil; Regent Lee; Philip Martindale; Rajesh K Kharbanda; Keith M Channon; Vicente Grau; Robin P Choudhury
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

5.  Noninvasive fractional flow on MRA predicts stroke risk of intracranial stenosis.

Authors:  David S Liebeskind; Andrzej S Kosinski; Michael J Lynn; Fabien Scalzo; Albert K Fong; Pari Fariborz; Marc I Chimowitz; Edward Feldmann
Journal:  J Neuroimaging       Date:  2014-03-05       Impact factor: 2.486

6.  Advanced Imaging of Intracranial Atherosclerosis: Lessons from Interventional Cardiology.

Authors:  Davor Pavlin-Premrl; Rahul Sharma; Bruce C V Campbell; J Mocco; Nicholas L Opie; Thomas J Oxley
Journal:  Front Neurol       Date:  2017-08-14       Impact factor: 4.003

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.