The aim of this prospective multicenter study was to identify the optimal approach for simple and fast fractional flow reserve (FFR) computation from radiographic coronary angiography, called quantitative flow ratio (QFR).

Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study / Tu, Shengxian; Westra, Jelmer; Yang, Junqing; von Birgelen, Clemens; Ferrara, Angela; Pellicano, Mariano; Nef, Holger; Tebaldi, Matteo; Murasato, Yoshinobu; Lansky, Alexandra; Barbato, Emanuele; van der Heijden, Liefke C; Reiber, Johan H. C; Holm, Niels R; Wijns, William. - In: JACC. CARDIOVASCULAR INTERVENTIONS. - ISSN 1876-7605. - 9:19(2016), pp. 2024-2035. [10.1016/j.jcin.2016.07.013]

Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study

PELLICANO, MARIANO;BARBATO, EMANUELE;
2016

Abstract

The aim of this prospective multicenter study was to identify the optimal approach for simple and fast fractional flow reserve (FFR) computation from radiographic coronary angiography, called quantitative flow ratio (QFR).
2016
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study / Tu, Shengxian; Westra, Jelmer; Yang, Junqing; von Birgelen, Clemens; Ferrara, Angela; Pellicano, Mariano; Nef, Holger; Tebaldi, Matteo; Murasato, Yoshinobu; Lansky, Alexandra; Barbato, Emanuele; van der Heijden, Liefke C; Reiber, Johan H. C; Holm, Niels R; Wijns, William. - In: JACC. CARDIOVASCULAR INTERVENTIONS. - ISSN 1876-7605. - 9:19(2016), pp. 2024-2035. [10.1016/j.jcin.2016.07.013]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/649017
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