Interrater variability of ML-based CT-FFR during TAVR-planning: influence of image quality and coronary artery calcifications

ObjectiveTo compare machine learning (ML)-based CT-derived fractional flow reserve (CT-FFR) in patients before transcatheter aortic valve replacement (TAVR) by observers with differing training and to assess influencing factors.BackgroundCoronary computed tomography angiography (cCTA) can effectivel...

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Hlavní autoři:	Robin F. Gohmann, Adrian Schug, Konrad Pawelka, Patrick Seitz, Nicolas Majunke, Hamza El Hadi, Linda Heiser, Katharina Renatus, Steffen Desch, Sergey Leontyev, Thilo Noack, Philipp Kiefer, Christian Krieghoff, Christian Lücke, Sebastian Ebel, Michael A. Borger, Holger Thiele, Christoph Panknin, Mohamed Abdel-Wahab, Matthias Horn, Matthias Gutberlet
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2023-12-01
Edice:	Frontiers in Cardiovascular Medicine
Témata:	aortic stenosis computed tomography coronary angiography coronary angiography coronary artery disease transcatheter aortic valve implantation diagnostic accuracy
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fcvm.2023.1301619/full
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