Juan Luis Gutiérrez-Chico1, Yundai Chen2, Wei Yu3, Daixin Ding3, Jiayue Huang3, Peng Huang3, Jing Jing2, Miao Chu1,3, Peng Wu3, Feng Tian2, Bo Xu4, Shengxian Tu5. 1. Cardio Care Heart Centre, Ventura del Mar 11, 29660 Marbella, Spain. 2. Department of Cardiology, PLA General Hospital, Beijing, China. 3. Med-X Research Institute Shanghai Jiao Tong University, No. 1954, Hua Shan Road, 200030 Shanghai, China. 4. Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China. 5. Med-X Research Institute Shanghai Jiao Tong University, No. 1954, Hua Shan Road, 200030 Shanghai, China. sxtu@sjtu.edu.cn.
Abstract
BACKGROUND: Evaluating prospectively the feasibility, accuracy and reproducibility of optical flow ratio (OFR), a novel method of computational physiology based on optical coherence tomography (OCT). METHODS AND RESULTS: Sixty consecutive patients (76 vessels) underwent prospectively OCT, angiography- based quantitative flow ratio (QFR) and fractional flow ratio (FFR). OFR was computed offline in a central core-lab by analysts blinded to FFR. OFR was feasible in 98.7% of the lesions and showed excellent agreement with FFR (ICCa = 0.83, r = 0.83, slope = 0.80, intercept = 0.17, kappa = 0.84). The area under curve to predict an FFR ≤ 0.80 was 0.95, higher than for QFR (0.91, p = 0.115) and for minimal lumen area (0.64, p < 0.001). Diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio were 93%, 92%, 93%, 88%, 96%, 13.8, 0.1, respectively. Median time to obtain OFR was 1.07 (IQR: 0.98-1.16) min, with excellent intraobserver and interobserver reproducibility (0.97 and 0.95, respectively). Pullback speed had negligible impact on OFR, provided the same coronary segment were imaged (ICCa = 0.90, kappa = 0.697). CONCLUSIONS: The prospective computation of OFR is feasible and reproducible in a real-world series, resulting in excellent agreement with FFR, superior to other image-based methods.
BACKGROUND: Evaluating prospectively the feasibility, accuracy and reproducibility of optical flow ratio (OFR), a novel method of computational physiology based on optical coherence tomography (OCT). METHODS AND RESULTS: Sixty consecutive patients (76 vessels) underwent prospectively OCT, angiography- based quantitative flow ratio (QFR) and fractional flow ratio (FFR). OFR was computed offline in a central core-lab by analysts blinded to FFR. OFR was feasible in 98.7% of the lesions and showed excellent agreement with FFR (ICCa = 0.83, r = 0.83, slope = 0.80, intercept = 0.17, kappa = 0.84). The area under curve to predict an FFR ≤ 0.80 was 0.95, higher than for QFR (0.91, p = 0.115) and for minimal lumen area (0.64, p < 0.001). Diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio were 93%, 92%, 93%, 88%, 96%, 13.8, 0.1, respectively. Median time to obtain OFR was 1.07 (IQR: 0.98-1.16) min, with excellent intraobserver and interobserver reproducibility (0.97 and 0.95, respectively). Pullback speed had negligible impact on OFR, provided the same coronary segment were imaged (ICCa = 0.90, kappa = 0.697). CONCLUSIONS: The prospective computation of OFR is feasible and reproducible in a real-world series, resulting in excellent agreement with FFR, superior to other image-based methods.
Authors: G J Bech; B De Bruyne; N H Pijls; E D de Muinck; J C Hoorntje; J Escaned; P R Stella; E Boersma; J Bartunek; J J Koolen; W Wijns Journal: Circulation Date: 2001-06-19 Impact factor: 29.690
Authors: Hak Seung Lee; Joo Myung Lee; Chang-Wook Nam; Eun-Seok Shin; Joon-Hyung Doh; Neng Dai; Martin K C Ng; Andy S C Yong; Damras Tresukosol; Ajit S Mullasari; Rony Mathew; Praveen Chandra; Kuang-Te Wang; Yundai Chen; Jiyan Chen; Kai-Hang Yiu; Nils P Johnson; Bon-Kwon Koo Journal: Cardiol J Date: 2019-06-21 Impact factor: 2.737
Authors: Juan Luis Gutiérrez-Chico; Joanna Wykrzykowska; Eveline Nüesch; Robert Jan van Geuns; Karel T Koch; Jacques J Koolen; Carlo di Mario; Stephan Windecker; Gerrit-Anne van Es; Pierre Gobbens; Peter Jüni; Evelyn Regar; Patrick W Serruys Journal: Circ Cardiovasc Interv Date: 2012-02-07 Impact factor: 6.546
Authors: Franz-Josef Neumann; Miguel Sousa-Uva; Anders Ahlsson; Fernando Alfonso; Adrian P Banning; Umberto Benedetto; Robert A Byrne; Jean-Philippe Collet; Volkmar Falk; Stuart J Head; Peter Jüni; Adnan Kastrati; Akos Koller; Steen D Kristensen; Josef Niebauer; Dimitrios J Richter; Petar M Seferovic; Dirk Sibbing; Giulio G Stefanini; Stephan Windecker; Rashmi Yadav; Michael O Zembala Journal: Eur Heart J Date: 2019-01-07 Impact factor: 29.983
Authors: Antonios Karanasos; Shengxian Tu; Nienke S van Ditzhuijzen; Jurgen M R Ligthart; Karen Witberg; Nicolas Van Mieghem; Robert-Jan van Geuns; Peter de Jaegere; Felix Zijlstra; Johan H C Reiber; Evelyn Regar Journal: Eur Heart J Cardiovasc Imaging Date: 2014-09-16 Impact factor: 6.875
Authors: Gabor G Toth; Balint Toth; Nils P Johnson; Frederic De Vroey; Luigi Di Serafino; Stylianos Pyxaras; Dan Rusinaru; Giuseppe Di Gioia; Mariano Pellicano; Emanuele Barbato; Carlos Van Mieghem; Guy R Heyndrickx; Bernard De Bruyne; William Wijns Journal: Circ Cardiovasc Interv Date: 2014-10-21 Impact factor: 6.546
Authors: Pim A L Tonino; Bernard De Bruyne; Nico H J Pijls; Uwe Siebert; Fumiaki Ikeno; Marcel van' t Veer; Volker Klauss; Ganesh Manoharan; Thomas Engstrøm; Keith G Oldroyd; Peter N Ver Lee; Philip A MacCarthy; William F Fearon Journal: N Engl J Med Date: 2009-01-15 Impact factor: 91.245
Authors: Carlos Cortés; Thomas W Johnson; Sigmund Silber; Piotr P Buszman; Tudor C Poerner; Francesco Lavarra; Borja Ibáñez; Yongcheol Kim; Karl Mischke; Miłosz Jaguszewski; Juan Luis Gutiérrez-Chico Journal: Cardiol J Date: 2020 Impact factor: 2.737
Authors: Carlos Cortés; Lili Liu; Scarlet Luisa Berdin; Pablo M Fernández-Corredoira; Ruiyan Zhang; Ulrich Schäfer; María López; José A Diarte; Shengxian Tu; Juan Luis Gutiérrez-Chico Journal: Cardiol J Date: 2022-05-17 Impact factor: 3.487