Literature DB >> 29050684

Comparison of Accuracy of One-Use Methods for Calculating Fractional Flow Reserve by Intravascular Optical Coherence Tomography to That Determined by the Pressure-Wire Method.

Sun-Joo Jang1, Jung-Min Ahn2, Boyoung Kim3, Ji-Min Gu3, Hyung Jin Sung3, Seung-Jung Park4, Wang-Yuhl Oh5.   

Abstract

Although the identification of the hemodynamic significance of coronary lesions becomes important for revascularization strategy, the potential role of 3-dimensional high-resolution intracoronary optical coherence tomography (OCT) for predicting functional significance of coronary lesions remains unclear. We assessed the diagnostic performance of 2 computational approaches for deriving fractional flow reserve (FFR) from intravascular OCT images. We developed 2 methods to derive FFR-OCT by AFD (FFR-OCTAFD) and FFR-OCT by CFD (FFR-OCTCFD). Among 217 eligible patients between 2011 and 2014, 104 were included for data analysis (9 for derivation, 95 for validation). Luminal geometries from 3-dimensional OCT were used for both FFR-OCTAFD and FFR-OCTCFD calculations. The analytical fluid dynamics method calculated FFR from the blood flow resistance estimated using Poiseuille's law. For computational fluid dynamics, we numerically solved the Navier-Stokes equation in a steady-state flow with the distal porous media model for the capillary vessels. We examined the diagnostic performance of FFR-OCTAFD and FFR-OCTCFD compared with the pressure-wire measured FFR. The accuracy, sensitivity, specificity, PPV, and NPV were 86%, 65%, 94%, 81%, and 88% for FFR-OCTAFD and 86%, 73%, 91%, 76%, and 90% for FFR-OCTCFD. The area under the curve of the receiver-operating characteristic curve was 0.88 for FFR-OCTAFD and 0.86 for FFR-OCTCFD. FFR-OCTAFD and FFR-OCTCFD showed a strong linear correlation with the measured FFR (r = 0.631; p <0.001, r = 0.655; p <0.001, respectively). FFR derived from high-resolution volumetric OCT images showed high diagnostic performance for the detection of coronary ischemia. In conclusion, OCT-derived FFR may be useful for guiding the management of coronary artery disease.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29050684     DOI: 10.1016/j.amjcard.2017.08.010

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  2 in total

1.  Automated accurate lumen segmentation using L-mode interpolation for three-dimensional intravascular optical coherence tomography.

Authors:  Arsalan Akbar; T S Khwaja; Ammar Javaid; Jun-Sun Kim; Jinyong Ha
Journal:  Biomed Opt Express       Date:  2019-09-23       Impact factor: 3.732

2.  Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study.

Authors:  Jung-Joon Cha; Tran Dinh Son; Jinyong Ha; Jung-Sun Kim; Sung-Jin Hong; Chul-Min Ahn; Byeong-Keuk Kim; Young-Guk Ko; Donghoon Choi; Myeong-Ki Hong; Yangsoo Jang
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

  2 in total

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