scholarly journals Three Dimensional Quantitative Coronary Angiography Can Detect Reliably Ischemic Coronary Lesions Based on Fractional Flow Reserve

2015 ◽  
Vol 30 (6) ◽  
pp. 716 ◽  
Author(s):  
Woo-Young Chung ◽  
Byoung-Joo Choi ◽  
Seong-Hoon Lim ◽  
Yoshiki Matsuo ◽  
Ryan J Lennon ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Three Dimensional ◽  
Quantitative Coronary Angiography ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Coronary Lesions

Validation of a three-dimensional quantitative coronary angiography-based software to calculate fractional flow reserve: the FAST study

2020 ◽  
Vol 16 (7) ◽  
pp. 591-599 ◽  
Author(s):  
Kaneshka Masdjedi ◽  
Laurens J.C. van Zandvoort ◽  
Matthew M. Balbi ◽  
Frank J.H. Gijsen ◽  
Jurgen M.R. Ligthart ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Three Dimensional ◽  
Quantitative Coronary Angiography ◽  
Fractional Flow ◽  
Flow Reserve

scholarly journals Three-dimensional and two-dimensional quantitative coronary angiography, and their prediction of reduced fractional flow reserve

2010 ◽  
Vol 32 (3) ◽  
pp. 345-353 ◽  
Author(s):  
Andy S.C. Yong ◽  
Austin C.C. Ng ◽  
David Brieger ◽  
Harry C. Lowe ◽  
Martin K.C. Ng ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Three Dimensional ◽  
Quantitative Coronary Angiography ◽  
Two Dimensional ◽  
Fractional Flow ◽  
Flow Reserve

Referral of patients for fractional flow reserve using quantitative flow ratio

2018 ◽  
Vol 20 (11) ◽  
pp. 1231-1238 ◽  
Author(s):  
Jeff M Smit ◽  
Gerhard Koning ◽  
Alexander R van Rosendael ◽  
Mohammed El Mahdiui ◽  
Bart J Mertens ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Invasive Coronary Angiography ◽  
Quantitative Coronary Angiography ◽  
Coronary Intervention ◽  
Flow Ratio ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Quantitative Flow Ratio ◽  
Quantitative Flow

Abstract Aims Quantitative flow ratio (QFR) is a recently developed technique to calculate fractional flow reserve (FFR) based on 3D quantitative coronary angiography and computational fluid dynamics, obviating the need for a pressure-wire and hyperaemia induction. QFR might be used to guide patient selection for FFR and subsequent percutaneous coronary intervention (PCI) referral in hospitals not capable to perform FFR and PCI. We aimed to investigate the feasibility to use QFR to appropriately select patients for FFR referral. Methods and results Patients who underwent invasive coronary angiography in a hospital where FFR and PCI could not be performed and were referred to our hospital for invasive FFR measurement, were included. Angiogram images from the referring hospitals were retrospectively collected for QFR analysis. Based on QFR cut-off values of 0.77 and 0.86, our patient cohort was reclassified to ‘no referral’ (QFR ≥0.86), referral for ‘FFR’ (QFR 0.78–0.85), or ‘direct PCI’ (QFR ≤0.77). In total, 290 patients were included. Overall accuracy of QFR to detect an invasive FFR of ≤0.80 was 86%. Based on a QFR cut-off value of 0.86, a 50% reduction in patient referral for FFR could be obtained, while only 5% of these patients had an invasive FFR of ≤0.80 (thus, these patients were incorrectly reclassified to the ‘no referral’ group). Furthermore, 22% of the patients that still need to be referred could undergo direct PCI, based on a QFR cut-off value of 0.77. Conclusion QFR is feasible to use for the selection of patients for FFR referral.

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