Impact of machine-learning-based coronary computed tomography angiography–derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

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Author:Verena Brandt, U. Joseph Schoepf, Gilberto J. Aquino, Raffi Bekeredjian, Akos Varga-Szemes, Tilman Emrich, Richard R. Bayer, Florian Schwarz, Thomas J. Kroencke, Christian Tesche, Josua A. Decker
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/94939
ISSN:1432-1084OPAC
Parent Title (English):European Radiology
Publisher:Springer Science and Business Media LLC
Type:Article
Language:English
Year of first Publication:2022
Release Date:2022/04/29
Tag:Radiology, Nuclear Medicine and imaging; General Medicine
Volume:32
First Page:6008
Last Page:6016
DOI:https://doi.org/10.1007/s00330-022-08758-8
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Diagnostische und Interventionelle Radiologie