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The Scientific World Journal
Volume 2014 (2014), Article ID 354946, 7 pages
Research Article

Numerical Investigation of the Effect of Stenosis Geometry on the Coronary Diagnostic Parameters

1Department of Mechanical Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
2Faculty of Engineering & Technology, Multimedia University, 75450 Bukit Beruang, Malacca, Malaysia

Received 8 May 2014; Accepted 20 July 2014; Published 1 September 2014

Academic Editor: Raul Moreno Gomez

Copyright © 2014 Sarfaraz Kamangar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The present study deals with the functional severity of a coronary artery stenosis assessed by the fractional flow reserve (FFR). The effects of different geometrical shapes of lesion on the diagnostic parameters are unknown. In this study, 3D computational simulation of blood flow in three different geometrical shapes of stenosis (triangular, elliptical, and trapezium) is considered in steady and transient conditions for 70% (moderate), 80% (intermediate), and 90% (severe) area stenosis (AS). For a given percentage AS, the variation of diagnostic parameters which are derived from pressure drop across the stenosis was found in three different geometrical shapes of stenosis and it was observed that FFR is higher in triangular shape and lower in trapezium shape. The pressure drop coefficient (CDP) was higher in trapezium shape and lower in triangular model whereas the LFC shows opposite trend. From the clinical perspective, the relationship between percentage AS and FFR is linear and inversely related in all the three models. A cut-off value of 0.75 for FFR was observed at 76.5% AS in trapezium model, 79.5% in elliptical model, and 82.7% AS for the triangular shaped model. The misinterpretation of the functional severity of the stenosis is in the region of 76.5%-82.7 % AS from different shapes of stenosis models.