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PMID: 31628575 Published · ppublish English Journal Article Validation Study

On-site evaluation of CT-based fractional flow reserve using simple boundary conditions for computational fluid dynamics.

The international journal of cardiovascular imaging ·Vol. 36 ·No. 2 ·2020-02-00 ·Pages 337-346

Yoshikawa Y, Nakamoto M, Nakamura M, Hoshi T, Yamamoto E, Imai S, Kawase Y, Okubo M, Shiomi H, Kondo T, Matsuo H, Kimura T, Saito N

Abstract

Fractional flow reserve (FFR) is an established method for diagnosing physiological coronary artery stenosis. A method for computing FFR using coronary computed tomography (CT) images was recently developed. However, its calculation requires off-site supercomputer analysis. Here, we report the preliminary result of a method using simple estimation of boundary conditions. The lumen boundaries of the coronary arteries were semi-automatically delineated using full width at half maximum of CT number profiles. The computational fluid dynamics (CFD) of the blood flow was performed using the boundary conditions of a fixed pressure at the coronary ostium and flow rates at each outlet. The total inflow at the coronary ostium was estimated based on the uniform wall shear stress hypothesis and corrected using a hyperemic multiplier to gain a hyperemic flow rate. The flow distribution from a parent vessel to the downstream daughter vessels was determined according to Murray's law. FFR estimated by CFD was calculated as FFRCFD = Pd/Pa. We collected patients who underwent coronary CT and coronary angiography followed by invasively measured FFR and compared FFRCFD with FFR. Sensitivity, specificity, and correlations were assessed. A total of 48 patients and 72 arteries were assessed. The correlation coefficient of FFRCFD with FFR was 0.56. The cut-off value was ≤ 0.80, sensitivity was 59.1%, and specificity was 94.0%. CFD-based FFR using simple boundary conditions for on-site clinical computation provided FFRCFD values that were moderately correlated with invasively measured FFR.

Keywords
Computational fluid dynamics Computed tomography Coronary physiology Fractional flow reserve
MeSH Terms
Aged Computed Tomography Angiography Coronary Angiography/methods Coronary Artery Disease/diagnostic imaging,physiopathology Coronary Vessels/diagnostic imaging,physiopathology Female Fractional Flow Reserve, Myocardial Humans Hydrodynamics Male Middle Aged Models, Cardiovascular Patient-Specific Modeling Predictive Value of Tests Reproducibility of Results Retrospective Studies
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Yoshikawa Yusuke
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Nakamoto Masahiko
EBM Corporation, Tokyo, Japan.
Nakamura Masanori
Biomechanics Laboratory, Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, Japan.
Hoshi Takeharu
EBM Corporation, Tokyo, Japan.
Yamamoto Erika
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Imai Shunsuke
Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Kawase Yoshiaki
Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Okubo Munenori
Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Shiomi Hiroki
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Kondo Takeshi
Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Matsuo Hitoshi
Department of Cardiovascular Medicine, Gifu Heart Center, Gifu, Japan.
Kimura Takeshi
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Saito Naritatsu ORCID
Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan. [email protected].
Article Info
Journal
The international journal of cardiovascular imaging
Abbr.
Int J Cardiovasc Imaging
ISSN
1875-8312
Published
2020-02-00
Epub
2019-00-18
Pages
337-346
Language
English
Region
United States
NLM ID
100969716
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