Comparison of Non-Invasive Multi-Slice Computed Tomography Coronary Angiography Versus Invasive Coronary Angiography and Fractional Flow Reserve for the Evaluation of Men With Known Coronary Artery Disease††Conflicts of interest: Dr. Schalij received grants from Biotronik, Nijmegen, The Netherlands; Medtronic, Inc., Tolochenaz, Switzerland; and Boston Scientific Corporation, Maastricht, The Netherlands. Dr. Pundziute receives grants from Toshiba Medical Systems Europe, Zoetermeer, The Netherlands. Dr. Bax receives research grants from Medtronic, Inc.; Boston Scientific Corporation; BMS Medical Imaging, North Billerica, Massachusetts; St. Jude Medical, Veenendaal, The Netherlands; Biotronik, Berlin, Germany; GE Healthcare, St. Giles, United Kingdom; and Edwards Lifesciences, Saint-Prex, Switzerland.

2009 ◽  
Vol 104 (5) ◽  
pp. 653-656 ◽  
Author(s):  
Jacob M. van Werkhoven ◽  
Joanne D. Schuijf ◽  
J. Wouter Jukema ◽  
Gabija Pundziute ◽  
Albert de Roos ◽  
...  
2008 ◽  
Vol 102 (4) ◽  
pp. 450-453 ◽  
Author(s):  
Suneet Mittal ◽  
Kenneth Stein ◽  
F. Roosevelt Gilliam ◽  
Stacia Merkel Kraus ◽  
Timothy Edward Meyer ◽  
...  

2018 ◽  
Vol 20 (11) ◽  
pp. 1231-1238 ◽  
Author(s):  
Jeff M Smit ◽  
Gerhard Koning ◽  
Alexander R van Rosendael ◽  
Mohammed El Mahdiui ◽  
Bart J Mertens ◽  
...  

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.


2017 ◽  
Vol 33 (9) ◽  
pp. 1305-1312 ◽  
Author(s):  
A. R. van Rosendael ◽  
G. Koning ◽  
A. C. Dimitriu-Leen ◽  
J. M. Smit ◽  
J. M. Montero-Cabezas ◽  
...  

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