Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements – initial experience with a novel physician-driven algorithm

Objectives The present study aimed to determine the feasibility of a novel fractional flow reserve (FFR) algorithm based on coronary CT angiography (cCTA) that permits point-of-care assessment, without data transfer to core laboratories, for the evaluation of potentially ischemia-causing stenoses. M...

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Bibliographic Details
Published in:European radiology 2015-04, Vol.25 (4), p.1201-1207
Main Authors: Baumann, Stefan, Wang, Rui, Schoepf, U. Joseph, Steinberg, Daniel H., Spearman, James V., Bayer, Richard R., Hamm, Christian W., Renker, Matthias
Format: Article
Language:English
Subjects:
Algorithms
Cardiac
Cardiovascular disease
Catheters
Coronary Angiography - methods
Coronary Stenosis - diagnostic imaging
Coronary vessels
Diagnostic Radiology
Feasibility Studies
Female
Fractional Flow Reserve, Myocardial - physiology
Heart attacks
Hemodynamics
Humans
Imaging
Internal Medicine
Interventional Radiology
Ischemia
Laboratories
Male
Medical imaging
Medicine
Medicine & Public Health
Middle Aged
Neuroradiology
Patients
Predictive Value of Tests
Radiology
Retrospective Studies
Sesquiterpenes
Tomography, X-Ray Computed - methods
Ultrasound
Vein & artery diseases
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Summary:Objectives The present study aimed to determine the feasibility of a novel fractional flow reserve (FFR) algorithm based on coronary CT angiography (cCTA) that permits point-of-care assessment, without data transfer to core laboratories, for the evaluation of potentially ischemia-causing stenoses. Methods To obtain CT-based FFR, anatomical coronary information and ventricular mass extracted from cCTA datasets were integrated with haemodynamic parameters. CT-based FFR was assessed for 36 coronary artery stenoses in 28 patients in a blinded fashion and compared to catheter-based FFR. Haemodynamically relevant stenoses were defined by an invasive FFR ≤0.80. Time was measured for the processing of each cCTA dataset and CT-based FFR computation. Assessment of cCTA image quality was performed using a 5-point scale. Results Mean total time for CT-based FFR determination was 51.9 ± 9.0 min. Per-vessel analysis for the identification of lesion-specific myocardial ischemia demonstrated good correlation (Pearson’s product-moment r  = 0.74, p  
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-014-3482-5