Literature DB >> 3259996

Epicardial coronary blood flow including the presence of stenoses and aorto-coronary bypasses--II: Experimental comparison and parametric investigations.

T F Wiesner1, M J Levesque, E Rooz, R M Nerem.   

Abstract

This article is the second in a series which presents a computer model of the left coronary arteries. The first article discussed the geometry, the governing equations, and the numerical method employed. This paper details an acute canine experiment used to validate the approach as well as the systematic investigation of several important parameters governing the left coronary circulation. These parameters include peripheral resistance, wall properties, and altered geometric properties through various stenosis/bypass configurations. With appropriate selection of parameters, the model reproduces an in vivo waveform very closely. The model also predicts many clinical phenomena, such as the "critical" value of stenosis, the dramatic reduction in flow through a stenosis when bypassed, and the restorative effect of the bypass upon flow to the distal bed. The model also is used to show that the autonomic state of the animal profoundly affects the influence of various factors, e.g., the critical value of a stenosis is much higher under resting conditions than under hyperemic conditions.

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Year:  1988        PMID: 3259996     DOI: 10.1115/1.3108419

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  3 in total

1.  Parametric analysis of flow in the intramyocardial circulation.

Authors:  R Holenstein; R M Nerem
Journal:  Ann Biomed Eng       Date:  1990       Impact factor: 3.934

2.  Detection of severe left anterior descending coronary artery stenosis by transthoracic evaluation of resting coronary flow velocity dynamics.

Authors:  Dawod Sharif; Amal Sharif-Rasslan; Camilia Shahla; Edward G Abinader
Journal:  Heart Int       Date:  2010-12-31

Review 3.  Coronary artery bypass grafting hemodynamics and anastomosis design: a biomedical engineering review.

Authors:  Dhanjoo N Ghista; Foad Kabinejadian
Journal:  Biomed Eng Online       Date:  2013-12-13       Impact factor: 2.819

  3 in total

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