numerical simulation and clinical implications of stenosis in coronary blood flow

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ID: 164457
2014
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Abstract
Fractional flow reserve (FFR) is the gold standard to guide coronary interventions. However it can only be obtained via invasive angiography. The objective of this study is to propose a noninvasive method to determine FFRCT by combining computed tomography angiographic (CTA) images and computational fluid dynamics (CFD) technique. Utilizing the method, this study explored the effects of diameter stenosis (DS), stenosis length, and location on FFRCT. The baseline left anterior descending (LAD) model was reconstructed from CTA of a healthy porcine heart. A series of models were created by adding an idealized stenosis (with DS from 45% to 75%, stenosis length from 4 mm to 16 mm, and at 4 locations separately). Through numerical simulations, it was found that FFRCT decreased (from 0.89 to 0.74), when DS increased (from 45% to 75%). Similarly, FFRCT decreased with the increase of stenosis length and the stenosis located at proximal position had lower FFRCT than that at distal position. These findings are consistent with clinical observations. Applying the same method on two patients’ CTA images yielded FFRCT close to the FFR values obtained via invasive angiography. The proposed noninvasive computation of FFRCT is promising for clinical diagnosis of CAD.
Reference Key
zhang2014biomednumerical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jun-Mei Zhang;Liang Zhong;Tong Luo;Yunlong Huo;Swee Yaw Tan;Aaron Sung Lung Wong;Boyang Su;Min Wan;Xiaodan Zhao;Ghassan S. Kassab;Heow Pueh Lee;Boo Cheong Khoo;Chang-Wei Kang;Te Ba;Ru San Tan
Journal spectrochimica acta - part a: molecular and biomolecular spectroscopy
Year 2014
DOI
10.1155/2014/514729
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