Literature DB >> 28986147

Fractional flow reserve derived from coronary computed tomography angiography reclassification rate using value distal to lesion compared to lowest value.

Shaw Hua Kueh1, John Mooney2, Mickaël Ohana2, Ung Kim2, Philipp Blanke2, Rominder Grover2, Stephanie Sellers2, Jennifer Ellis2, Darra Murphy2, Cameron Hague2, Jeroen J Bax3, Bjarne L Nørgaard4, Mark Rabbat5, Jonathon A Leipsic2.   

Abstract

INTRODUCTION: A standardised approach to the interpretation of FFRCT data is currently lacking. We evaluated the rate of reclassification of FFRCT positivity using the FFRCT value distal to an anatomical stenoses compared to the lowest FFRCT value.
METHOD: Patients who underwent coronary CTA and FFRCT analysis were eligible. FFRCT value of ≤ 0.80 was considered positive. Positive FFRCT distal to stenosis was defined as those with a stenoses of ≥ 25% with an associated FFRCT value of ≤ 0.80 within 2cm distal to the lesion. Outcome data on subsequent invasive coronary angiography (ICA) and coronary revascularisation were collected with a minimum follow-up of 60 days to account for delay between referral for invasive testing and/or revascularisation and receiving the procedure. RESULT: 192 patients (mean age 60.7 ± 10.6 years, 67.5% men) were included. FFRCT was positive for lowest FFRCT value in 55.7% of patients. Positive FFRCT value distal to stenosis was found in 31.3%. The overall reclassification rate of those positive for lowest FFRCT value to negative for FFRCT value distal to stenosis was 43.9% (p < 0.01). The reclassification rates were most pronounced for those with intermediate stenoses - 67% for those with < 50% stenoses, p < 0.01; 49% for 50-69% stenoses, p < 0.01. Amongst those who underwent ICA, the rate of revascularization was significant higher for those with positive FFRCT distal to stenosis compared to those positive for lowest FFRCT value (revascularization/ICA = 0.53 vs 0.44, p < 0.01).
CONCLUSION: Using FFRCT values distal to a anatomical stenoses, 44% of patients positive for lowest FFRCT value were reclassified as negative for FFRCT value distal to stenosis. Those who underwent ICA, the rate of revascularisation was higher amongst those with positive FFRCT distal to stenosis compared to those positive for lowest FFRCT value.
Copyright © 2017 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography angiography; Coronary artery disease; Fractional flow reserve

Mesh:

Year:  2017        PMID: 28986147     DOI: 10.1016/j.jcct.2017.09.009

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  10 in total

1.  Prognosis of CT-derived Fractional Flow Reserve in the Prediction of Clinical Outcomes.

Authors:  Charis G McNabney; Stephanie L Sellers; Ryan J A Wilson; Shmuel Hart; Samuel A Rosenblatt; Darra T Murphy; Philipp Blanke; Amir A Ahmadi; Jaydeep Halankar; Adrian Attinger-Toller; Marcelo Godoy Zamorano; Janice Wong Li Yu; Bjarne L Nørgaard; Jonathon A Leipsic; Jonathan R Weir-McCall
Journal:  Radiol Cardiothorac Imaging       Date:  2019-06-27

2.  Change in Computed Tomography-Derived Fractional Flow Reserve Across the Lesion Improve the Diagnostic Performance of Functional Coronary Stenosis.

Authors:  Hankun Yan; Yang Gao; Na Zhao; Wenlei Geng; Zhihui Hou; Yunqiang An; Jie Zhang; Bin Lu
Journal:  Front Cardiovasc Med       Date:  2022-01-13

3.  Prognostic value of coronary computed tomography angiographic derived fractional flow reserve: a systematic review and meta-analysis.

Authors:  Bjarne L Nørgaard; Sara Gaur; Timothy A Fairbairn; Pam S Douglas; Jesper M Jensen; Manesh R Patel; Abdul R Ihdayhid; Brian S H Ko; Stephanie L Sellers; Jonathan Weir-McCall; Hitoshi Matsuo; Niels Peter R Sand; Kristian A Øvrehus; Campbell Rogers; Sarah Mullen; Koen Nieman; Erik Parner; Jonathon Leipsic; Jawdat Abdulla
Journal:  Heart       Date:  2021-10-22       Impact factor: 5.994

4.  Fractional flow reserve derived from computed tomography coronary angiography in the assessment and management of stable chest pain: the FORECAST randomized trial.

Authors:  Nick Curzen; Zoe Nicholas; Beth Stuart; Sam Wilding; Kayleigh Hill; James Shambrook; Zina Eminton; Darran Ball; Camilla Barrett; Lucy Johnson; Jacqui Nuttall; Kim Fox; Derek Connolly; Peter O'Kane; Alex Hobson; Anoop Chauhan; Neal Uren; Gerry Mccann; Colin Berry; Justin Carter; Carl Roobottom; Mamas Mamas; Ronak Rajani; Ian Ford; Pamela Douglas; Mark Hlatky
Journal:  Eur Heart J       Date:  2021-10-01       Impact factor: 35.855

5.  Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve.

Authors:  Yushui Han; Ahmed Ibrahim Ahmed; Chris Schwemmer; Myra Cocker; Talal S Alnabelsi; Jean Michel Saad; Juan C Ramirez Giraldo; Mouaz H Al-Mallah
Journal:  Open Heart       Date:  2022-03

6.  Combined Coronary CT-Angiography and TAVI Planning: Utility of CT-FFR in Patients with Morphologically Ruled-Out Obstructive Coronary Artery Disease.

Authors:  Robin Fabian Gohmann; Patrick Seitz; Konrad Pawelka; Nicolas Majunke; Adrian Schug; Linda Heiser; Katharina Renatus; Steffen Desch; Philipp Lauten; David Holzhey; Thilo Noack; Johannes Wilde; Philipp Kiefer; Christian Krieghoff; Christian Lücke; Sebastian Ebel; Sebastian Gottschling; Michael A Borger; Holger Thiele; Christoph Panknin; Mohamed Abdel-Wahab; Matthias Horn; Matthias Gutberlet
Journal:  J Clin Med       Date:  2022-02-28       Impact factor: 4.241

7.  Sex differences in machine learning computed tomography-derived fractional flow reserve.

Authors:  Mahmoud Al Rifai; Ahmed Ibrahim Ahmed; Yushui Han; Jean Michel Saad; Talal Alnabelsi; Faisal Nabi; Su Min Chang; Myra Cocker; Chris Schwemmer; Juan C Ramirez-Giraldo; William A Zoghbi; John J Mahmarian; Mouaz H Al-Mallah
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

Review 8.  Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography Datasets: The Next Frontier in Noninvasive Assessment of Coronary Artery Disease.

Authors:  Caroline Ball; Gianluca Pontone; Mark Rabbat
Journal:  Biomed Res Int       Date:  2018-07-25       Impact factor: 3.411

9.  Verification of Coronary Computed Tomography-Derived Fractional Flow Reserve Measurement Site for Detection of Significant Coronary Artery Disease.

Authors:  Tomohiro Kawasaki; Taichi Okonogi; Hisashi Koga; Yoshiya Orita; Kyoko Umeji; Ryota Fukuoka; Keisuke Hirai; Kazuki Haraguchi; Kimihiro Kajiyama; Yurie Fukami; Toshiya Soejima; Kensho Abe; Hiroshige Yamabe
Journal:  Circ Rep       Date:  2021-10-29

10.  Comparison of diagnostic performance in on-site based CT-derived fractional flow reserve measurements.

Authors:  Yui O Nozaki; Shinichiro Fujimoto; Chihiro Aoshima; Yuki Kamo; Yuko O Kawaguchi; Kazuhisa Takamura; Ayako Kudo; Daigo Takahashi; Makoto Hiki; Yoshiteru Kato; Iwao Okai; Tomotaka Dohi; Shinya Okazaki; Nobuo Tomizawa; Kanako K Kumamaru; Shigeki Aoki; Tohru Minamino
Journal:  Int J Cardiol Heart Vasc       Date:  2021-06-11
  10 in total

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