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
Author: | Verena Brandt, U. Joseph Schoepf, Gilberto J. Aquino, Raffi Bekeredjian, Akos Varga-Szemes, Tilman Emrich, Richard R. Bayer, Florian Schwarz, Thomas J. KroenckeORCiDGND, Christian Tesche, Josua A. DeckerORCiD |
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Frontdoor URL | https://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 |
Publishing Institution: | Universität Augsburg |
Release Date: | 2022/04/29 |
Tag: | General Medicine; Radiology, Nuclear Medicine and imaging |
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 |