Literature DB >> 26507326

The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography.

Lili Liu1, Wenjie Yang2, Yasuomi Nagahara3, Yingguang Li4, Saeb R Lamooki1, Takashi Muramatsu3, Pieter Kitslaar4, Masayoshi Sarai3, Yukio Ozaki3, Peter Barlis5, Fuhua Yan2, Johan H C Reiber4, Shengxian Tu6.   

Abstract

Calculation of fractional flow reserve (FFR) based on computational fluid dynamics (CFD) requires reconstruction of patient-specific coronary geometry and estimation of hyperemic flow rate. Coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) are two dominating imaging modalities used for the geometrical reconstruction. Our aim was to investigate the impact of image resolution as inherently associated with these two imaging modalities on geometrical reconstruction and subsequent FFR calculation. Patients with mild or intermediate coronary stenoses who underwent both CCTA and ICA were included. CCTA images were acquired either by 320-row area detector CT or by 128-slice dual-source CT. Two geometrical models were reconstructed separately from CCTA and ICA, from which FFRCTA and FFRQCA were subsequently calculated using CFD simulations, applying the same hyperemic flow rate derived from the ICA images at the inlet boundaries. A total of 57 vessels in 41 patients were analyzed. Average diameter stenosis was 43.4 ± 10.8 % by 3D QCA. Reasonably good correlation between FFRCTA and FFRQCA was observed (r = 0.71, p < 0.001). The difference between FFRCTA and FFRQCA was correlated with the deviation between minimal lumen areas by CCTA and by ICA (ρ = 0.34, p = 0.01), but not with plaque volume (ρ = -0.09, p = 0.51) or calcified plaque volume (ρ = 0.01, p = 0.95). Applying the cutoff value of ≤0.8 to both FFRCTA and FFRQCA, the agreement between FFRCTA and FFRQCA in discriminating functional significant stenoses was moderate (kappa 0.47, p < 0.001). Disagreement was found in 10 (17.5 %) vessels. Acceptable correlation between FFRCTA and FFRQCA was observed, while their agreement in distinguishing functional significant stenosis was moderate. Our results suggest that image resolution has a significant impact on FFR computation.

Entities:  

Keywords:  Computational fluid dynamics; Coronary computed tomography angiography; Fractional flow reserve; Quantitative coronary angiography

Mesh:

Year:  2015        PMID: 26507326     DOI: 10.1007/s10554-015-0797-5

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  25 in total

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Authors:  G Sun; M Li; X-S Jiang; L Li; Z-H Peng; G-Y Li; L Xu
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Authors:  Shengxian Tu; Emanuele Barbato; Zsolt Köszegi; Junqing Yang; Zhonghua Sun; Niels R Holm; Balázs Tar; Yingguang Li; Dan Rusinaru; William Wijns; Johan H C Reiber
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Authors:  Gregory J Dehmer; Douglas Weaver; Matthew T Roe; Sarah Milford-Beland; Susan Fitzgerald; Anthony Hermann; John Messenger; Issam Moussa; Kirk Garratt; John Rumsfeld; Ralph G Brindis
Journal:  J Am Coll Cardiol       Date:  2012-10-17       Impact factor: 24.094

10.  In vivo comparison of arterial lumen dimensions assessed by co-registered three-dimensional (3D) quantitative coronary angiography, intravascular ultrasound and optical coherence tomography.

Authors:  Shengxian Tu; Liang Xu; Jurgen Ligthart; Bo Xu; Karen Witberg; Zhongwei Sun; Gerhard Koning; Johan H C Reiber; Evelyn Regar
Journal:  Int J Cardiovasc Imaging       Date:  2012-01-20       Impact factor: 2.357

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6.  A vessel length-based method to compute coronary fractional flow reserve from optical coherence tomography images.

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