Operator-dependent variability of angiography-derived fractional flow reserve and the implications for treatment
| Autor: | Katherine Lal, D. Rod Hose, Paul Morris, Vignesh Rammohan, Mina Ghobrial, Patricia V. Lawford, Julian Gunn, Andrew J. Narracott, Gareth Williams, Rebecca Gosling, John Fenner |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.diagnostic_test
business.industry Intraclass correlation medicine.medical_treatment Coronary angiography Percutaneous coronary intervention Fractional flow reserve Original Articles 030204 cardiovascular system & hematology medicine.disease Coronary artery disease 03 medical and health sciences 0302 clinical medicine Operator (computer programming) Angiography Conventional PCI Statistics Computer modelling medicine Coronary physiology 030212 general & internal medicine business Quality assurance Mathematics |
| Zdroj: | European Heart Journal. Digital Health |
| ISSN: | 2634-3916 |
| Popis: | Aims To extend the benefits of physiologically guided percutaneous coronary intervention to many more patients, angiography-derived, or ‘virtual’ fractional flow reserve (vFFR) has been developed, in which FFR is computed, based upon the images, instead of being measured invasively. The effect of operator experience with these methods upon vFFR accuracy remains unknown. We investigated variability in vFFR results based upon operator experience with image-based computational modelling techniques. Methods and results Virtual fractional flow reserve was computed using a proprietary method (VIRTUheart) from the invasive angiograms of patients with coronary artery disease. Each case was processed by an expert (>100 vFFR cases) and a non-expert ( Graphical Abstract |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|