Development and testing of the application based on coronary artery diseases (CAD)

Coronary artery disease (CAD) is the most common cause of death globally. Typically, it occurs when part of the coronary artery develops atherosclerosis, which causes the narrowing of the vessel lumen. The decision to be taken to treat the stenotic artery vessel is often influenced by several factors. The aim of this study is to develop an application (app) to provide support to the physician in decision-making. The app has been developed with an Application Builder based on Java, as a result of the previous simulation of computational fluid dynamics (CFD). By using a standard coronary anatomy, through the app it is possible to vary the degree of the stenosis to obtain information about the hemodynamic variations of not easily accessible parameters.

[1]  Kamarul Arifin Ahmad,et al.  Computational fluid dynamics study in biomedical applications: a review , 2016 .

[2]  William Wijns,et al.  Fractional Flow Reserve to Determine the Appropriateness of Angioplasty in Moderate Coronary Stenosis: A Randomized Trial , 2001, Circulation.

[3]  K. Prasad,et al.  Textbook of Angiology , 2000, Springer New York.

[4]  C. R. Ethier,et al.  Factors Influencing Blood Flow Patterns in the Human Right Coronary Artery , 2001, Annals of Biomedical Engineering.

[5]  Gionata Fragomeni,et al.  Influence of IABP-Induced Abdominal Occlusions on Aortic Hemodynamics: A Patient-Specific Computational Evaluation , 2017, ASAIO journal.

[7]  J. Rumberger,et al.  Coronary artery calcium area by electron-beam computed tomography and coronary atherosclerotic plaque area. A histopathologic correlative study. , 1995, Circulation.

[8]  Miguel López-Coronado,et al.  Mobile Apps in Cardiology: Review , 2013, JMIR mHealth and uHealth.

[9]  Zhonghua Sun,et al.  Computation of hemodynamics in the left coronary artery with variable angulations. , 2011, Journal of biomechanics.

[10]  Vartan Kurtcuoglu,et al.  Choosing the optimal wall shear parameter for the prediction of plaque location-A patient-specific computational study in human right coronary arteries. , 2010, Atherosclerosis.

[11]  Christophe Leclercq,et al.  Predictors of response to cardiac resynchronization therapy (PROSPECT)--study design. , 2005, American heart journal.

[12]  Vera Gramigna,et al.  Influence of Aortic Outflow Cannula Orientation on Epiaortic Flow Pattern During Pulsed Cardiopulmonary Bypass , 2015 .

[13]  F. Boyle,et al.  Numerical prediction of the effect of aortic Left Ventricular Assist Device outflow-graft anastomosis location , 2016 .

[14]  Ciro Indolfi,et al.  Hemodynamically non-significant coronary artery stenosis: a predictive model , 2017 .

[15]  Jack Lee,et al.  The Multi-Scale Modelling of Coronary Blood Flow , 2012, Annals of Biomedical Engineering.

[16]  Qiao Li,et al.  Open source Java-based ECG analysis software and Android app for Atrial Fibrillation screening , 2013, Computing in Cardiology 2013.

[17]  Michael C. McDaniel,et al.  Coronary Artery Wall Shear Stress Is Associated With Progression and Transformation of Atherosclerotic Plaque and Arterial Remodeling in Patients With Coronary Artery Disease , 2011, Circulation.

[18]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[19]  Zhonghua Sun,et al.  Computational Fluid Dynamics Analysis of the Effect of Plaques in the Left Coronary Artery , 2012, Comput. Math. Methods Medicine.

[20]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[21]  Uwe Siebert,et al.  Clinical ResearchInterventional CardiologyFractional Flow Reserve Versus Angiography for Guiding Percutaneous Coronary Intervention in Patients With Multivessel Coronary Artery Disease: 2-Year Follow-Up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) Study , 2010 .

[22]  J. Koenderink Q… , 2014, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.

[23]  M. Caruso,et al.  A numerical analysis of the aortic blood flow pattern during pulsed cardiopulmonary bypass , 2015, Computer methods in biomechanics and biomedical engineering.