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...

Full description

Bibliographic Details

Published in:	Frontiers in Cardiovascular Medicine
Main Authors:	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
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-12-01
Subjects:	aortic stenosis computed tomography coronary angiography coronary angiography coronary artery disease transcatheter aortic valve implantation diagnostic accuracy
Online Access:	https://www.frontiersin.org/articles/10.3389/fcvm.2023.1301619/full