Literature DB >> 34647890

Vessel fractional flow reserve (vFFR) for the assessment of stenosis severity: the FAST II study.

Kaneshka Masdjedi1, Nobuhiro Tanaka2, Eric Van Belle3, Sina Porouchani3, Axel Linke4,5, Felix J Woitek4, Antonio L Bartorelli6, Ziad A Ali7,8, Wijnand K den Dekker1, Jeroen Wilschut1, Roberto Diletti1, Felix Zijlstra1, Eric Boersma1, Nicolas M Van Mieghem1, Ernest Spitzer9, Joost Daemen1.   

Abstract

BACKGROUND: Fractional flow reserve (FFR)-guided percutaneous coronary intervention (PCI) is superior to angiography-guided PCI. The clinical uptake of FFR has been limited, however, by the need to advance a wire in the coronary artery, the additional time required and the need for hyperaemic agents which can cause patient discomfort. FFR derived from routine coronary angiography eliminates these issues. AIMS: The aim of this study was to assess the diagnostic performance and accuracy of three-dimensional quantitative coronary angiography (3D-QCA)-based vessel FFR (vFFR) compared to pressure wire-based FFR (≤0.80).
METHODS: The FAST II (Fast Assessment of STenosis severity) study was a prospective observational multicentre study designed to evaluate the diagnostic accuracy of vFFR compared to the reference standard (pressure wire-based FFR ≤0.80). A total of 334 patients from six centres were enrolled. Both site-determined and blinded independent core lab vFFR measurements were compared to FFR.
RESULTS: The core lab vFFR was 0.83±0.09 and pressure wire-based FFR 0.83±0.08. A good correlation was found between core lab vFFR and pressure wire-based FFR (R=0.74; p<0.001; mean bias 0.0029±0.0642). vFFR had an excellent diagnostic accuracy in identifying lesions with an invasive wire-based FFR ≤0.80 (area under the curve [AUC] 0.93; 95% confidence interval [CI]: 0.90-0.96; p<0.001). Positive predictive value, negative predictive value, diagnostic accuracy, sensitivity and specificity of vFFR were 90%, 90%, 90%, 81% and 95%, respectively.
CONCLUSIONS: 3D-QCA-based vFFR has excellent diagnostic performance to detect FFR ≤0.80. The study was registered on clinicaltrials.gov under identifier NCT03791320.

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Year:  2022        PMID: 34647890     DOI: 10.4244/EIJ-D-21-00471

Source DB:  PubMed          Journal:  EuroIntervention        ISSN: 1774-024X            Impact factor:   6.534


  5 in total

Review 1.  Physiologic Lesion Assessment to Optimize Multivessel Disease.

Authors:  Murtaza Bharmal; Morton J Kern; Gautam Kumar; Arnold H Seto
Journal:  Curr Cardiol Rep       Date:  2022-03-02       Impact factor: 3.955

2.  Comparison of diagnostic accuracy measures of novel 3D quantitative coronary angiography based software and diastolic pressure ratio for fractional flow Reserve. A single center pooled analysis of FAST EXTEND and FAST II studies.

Authors:  Alessandra Scoccia; Tara Neleman; Mariusz Tomaniak; Kaneshka Masdjedi; Frederik T W Groenland; Isabella Kardys; Jurgen M R Ligthart; Nicolas M Van Mieghem; Ernest Spitzer; Joost Daemen
Journal:  Int J Cardiol Heart Vasc       Date:  2022-03-05

3.  Three-dimensional QCA-based vessel fractional flow reserve (vFFR) in Heart Team decision-making: a multicentre, retrospective, cohort study.

Authors:  Mariusz Tomaniak; Kaneshka Masdjedi; Tara Neleman; Ibrahim T Kucuk; Alise Vermaire; Laurens J C van Zandvoort; Nick Van Boven; Bas M van Dalen; Loe Kie Soei; Wijnand K den Dekker; Isabella Kardys; Jeroen M Wilschut; Roberto Diletti; Felix Zijlstra; Nicolas M Van Mieghem; Joost Daemen
Journal:  BMJ Open       Date:  2022-04-04       Impact factor: 2.692

4.  Heart Team risk assessment with angiography-derived fractional flow reserve determining the optimal revascularization strategy in patients with multivessel disease: Trial design and rationale for the DECISION QFR randomized trial.

Authors:  Kotaro Miyata; Taku Asano; Akira Saito; Kohei Abe; Toru Tanigaki; Masahiro Hoshino; Tomoaki Kobayashi; Yoshimitsu Takaoka; Takayoshi Kanie; Manabu Yamasaki; Kunihiko Yoshino; Naoki Wakabayashi; Koki Ouchi; Hiroyuki Kodama; Yumi Shiina; Rihito Tamaki; Yosuke Nishihata; Keita Masuda; Takahiro Suzuki; Hideaki Nonaka; Hiroki Emori; Yuki Katagiri; Yosuke Miyazaki; Yohei Sotomi; Motoki Yasunaga; Norihiro Kogame; Shoichi Kuramitsu; Johan H C Reiber; Takayuki Okamura; Yoshiharu Higuchi; Tsunekazu Kakuta; Hiroyasu Misumi; Nobuyuki Komiyama; Hitoshi Matsuo; Kengo Tanabe
Journal:  Clin Cardiol       Date:  2022-03-31       Impact factor: 3.287

Review 5.  Angiography-Based Fractional Flow Reserve: State of the Art.

Authors:  Alessandra Scoccia; Mariusz Tomaniak; Tara Neleman; Frederik T W Groenland; Annemieke C Ziedses des Plantes; Joost Daemen
Journal:  Curr Cardiol Rep       Date:  2022-04-18       Impact factor: 3.955

  5 in total

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