Assessing computational fractional flow reserve from optical coherence tomography in patients with intermediate coronary stenosis in the left anterior descending artery

Jinyong Ha, Jung Sun Kim, Jaeyeong Lim, Gihoon Kim, Seungwan Lee, Joon Sang Lee, Dong Ho Shin, Byeong Keuk Kim, Young Guk Ko, Donghoon Choi, Yangsoo Jang, Myeong Ki Hong

Research output: Contribution to journalArticle

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Abstract

Background - Intravascular optical coherence tomography (OCT) imaging provides limited information on the functional assessment of coronary stenosis. We evaluated a new approach to OCT image-based computation modeling, which can be used to estimate the fractional flow reserve (FFR) in patients with intermediate coronary stenosis. Methods and Results - Ninety-two patients with intermediate diameter stenosis in the left anterior descending artery underwent both FFR measurement with pressure wires and OCT examination. Using the OCT data, a computational fluid dynamics algorithm was used to calculate the computational FFR (FFR OCT). The diagnostic performance of the FFR OCT was assessed based on the pressure wire-based FFR. The median FFR and FFR OCT values were 0.86 (0.79-0.89) and 0.89 (0.82-0.94), respectively. The average diameter stenosis in quantitative coronary angiography and area stenosis in OCT were 58.1±13.4% and 67.5±13.5%, respectively. The FFR OCT was better correlated to the FFR than were the anatomic variables (r=0.72; P<0.001 versus r=0.46; P<0.001 for minimal luminal diameter on quantitative coronary angiography or r=0.57; P<0.001 for minimal lumen area on OCT). When functionally significant stenosis was defined as an FFR cutoff value of ≤0.8, FFR OCT resulted in 88.0% accuracy, 68.7% sensitivity, and 95.6% specificity. The positive and negative predictive values were 84.2% and 89.0%, respectively. Conclusions - The computation of FFR OCT enables assessment not only of anatomic information, but also of the functional significance of intermediate stenosis. This measurement may be a useful approach for the simultaneous evaluation of the functional and anatomic severity of coronary stenosis.

Original languageEnglish
Article numbere003613
JournalCirculation: Cardiovascular Interventions
Volume9
Issue number8
DOIs
Publication statusPublished - 2016 Aug 1

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Coronary Stenosis
Optical Coherence Tomography
Arteries
Pathologic Constriction
Coronary Angiography
Pressure
Hydrodynamics

All Science Journal Classification (ASJC) codes

  • Cardiology and Cardiovascular Medicine

Cite this

@article{33816c4d8b6c49dc8d713e3b4b67a073,
title = "Assessing computational fractional flow reserve from optical coherence tomography in patients with intermediate coronary stenosis in the left anterior descending artery",
abstract = "Background - Intravascular optical coherence tomography (OCT) imaging provides limited information on the functional assessment of coronary stenosis. We evaluated a new approach to OCT image-based computation modeling, which can be used to estimate the fractional flow reserve (FFR) in patients with intermediate coronary stenosis. Methods and Results - Ninety-two patients with intermediate diameter stenosis in the left anterior descending artery underwent both FFR measurement with pressure wires and OCT examination. Using the OCT data, a computational fluid dynamics algorithm was used to calculate the computational FFR (FFR OCT). The diagnostic performance of the FFR OCT was assessed based on the pressure wire-based FFR. The median FFR and FFR OCT values were 0.86 (0.79-0.89) and 0.89 (0.82-0.94), respectively. The average diameter stenosis in quantitative coronary angiography and area stenosis in OCT were 58.1±13.4{\%} and 67.5±13.5{\%}, respectively. The FFR OCT was better correlated to the FFR than were the anatomic variables (r=0.72; P<0.001 versus r=0.46; P<0.001 for minimal luminal diameter on quantitative coronary angiography or r=0.57; P<0.001 for minimal lumen area on OCT). When functionally significant stenosis was defined as an FFR cutoff value of ≤0.8, FFR OCT resulted in 88.0{\%} accuracy, 68.7{\%} sensitivity, and 95.6{\%} specificity. The positive and negative predictive values were 84.2{\%} and 89.0{\%}, respectively. Conclusions - The computation of FFR OCT enables assessment not only of anatomic information, but also of the functional significance of intermediate stenosis. This measurement may be a useful approach for the simultaneous evaluation of the functional and anatomic severity of coronary stenosis.",
author = "Jinyong Ha and Kim, {Jung Sun} and Jaeyeong Lim and Gihoon Kim and Seungwan Lee and Lee, {Joon Sang} and Shin, {Dong Ho} and Kim, {Byeong Keuk} and Ko, {Young Guk} and Donghoon Choi and Yangsoo Jang and Hong, {Myeong Ki}",
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language = "English",
volume = "9",
journal = "Circulation: Cardiovascular Interventions",
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Assessing computational fractional flow reserve from optical coherence tomography in patients with intermediate coronary stenosis in the left anterior descending artery. / Ha, Jinyong; Kim, Jung Sun; Lim, Jaeyeong; Kim, Gihoon; Lee, Seungwan; Lee, Joon Sang; Shin, Dong Ho; Kim, Byeong Keuk; Ko, Young Guk; Choi, Donghoon; Jang, Yangsoo; Hong, Myeong Ki.

In: Circulation: Cardiovascular Interventions, Vol. 9, No. 8, e003613, 01.08.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Assessing computational fractional flow reserve from optical coherence tomography in patients with intermediate coronary stenosis in the left anterior descending artery

AU - Ha, Jinyong

AU - Kim, Jung Sun

AU - Lim, Jaeyeong

AU - Kim, Gihoon

AU - Lee, Seungwan

AU - Lee, Joon Sang

AU - Shin, Dong Ho

AU - Kim, Byeong Keuk

AU - Ko, Young Guk

AU - Choi, Donghoon

AU - Jang, Yangsoo

AU - Hong, Myeong Ki

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Background - Intravascular optical coherence tomography (OCT) imaging provides limited information on the functional assessment of coronary stenosis. We evaluated a new approach to OCT image-based computation modeling, which can be used to estimate the fractional flow reserve (FFR) in patients with intermediate coronary stenosis. Methods and Results - Ninety-two patients with intermediate diameter stenosis in the left anterior descending artery underwent both FFR measurement with pressure wires and OCT examination. Using the OCT data, a computational fluid dynamics algorithm was used to calculate the computational FFR (FFR OCT). The diagnostic performance of the FFR OCT was assessed based on the pressure wire-based FFR. The median FFR and FFR OCT values were 0.86 (0.79-0.89) and 0.89 (0.82-0.94), respectively. The average diameter stenosis in quantitative coronary angiography and area stenosis in OCT were 58.1±13.4% and 67.5±13.5%, respectively. The FFR OCT was better correlated to the FFR than were the anatomic variables (r=0.72; P<0.001 versus r=0.46; P<0.001 for minimal luminal diameter on quantitative coronary angiography or r=0.57; P<0.001 for minimal lumen area on OCT). When functionally significant stenosis was defined as an FFR cutoff value of ≤0.8, FFR OCT resulted in 88.0% accuracy, 68.7% sensitivity, and 95.6% specificity. The positive and negative predictive values were 84.2% and 89.0%, respectively. Conclusions - The computation of FFR OCT enables assessment not only of anatomic information, but also of the functional significance of intermediate stenosis. This measurement may be a useful approach for the simultaneous evaluation of the functional and anatomic severity of coronary stenosis.

AB - Background - Intravascular optical coherence tomography (OCT) imaging provides limited information on the functional assessment of coronary stenosis. We evaluated a new approach to OCT image-based computation modeling, which can be used to estimate the fractional flow reserve (FFR) in patients with intermediate coronary stenosis. Methods and Results - Ninety-two patients with intermediate diameter stenosis in the left anterior descending artery underwent both FFR measurement with pressure wires and OCT examination. Using the OCT data, a computational fluid dynamics algorithm was used to calculate the computational FFR (FFR OCT). The diagnostic performance of the FFR OCT was assessed based on the pressure wire-based FFR. The median FFR and FFR OCT values were 0.86 (0.79-0.89) and 0.89 (0.82-0.94), respectively. The average diameter stenosis in quantitative coronary angiography and area stenosis in OCT were 58.1±13.4% and 67.5±13.5%, respectively. The FFR OCT was better correlated to the FFR than were the anatomic variables (r=0.72; P<0.001 versus r=0.46; P<0.001 for minimal luminal diameter on quantitative coronary angiography or r=0.57; P<0.001 for minimal lumen area on OCT). When functionally significant stenosis was defined as an FFR cutoff value of ≤0.8, FFR OCT resulted in 88.0% accuracy, 68.7% sensitivity, and 95.6% specificity. The positive and negative predictive values were 84.2% and 89.0%, respectively. Conclusions - The computation of FFR OCT enables assessment not only of anatomic information, but also of the functional significance of intermediate stenosis. This measurement may be a useful approach for the simultaneous evaluation of the functional and anatomic severity of coronary stenosis.

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DO - 10.1161/CIRCINTERVENTIONS.116.003613

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