Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence.

Journal: Diagnostic and interventional imaging
Published Date: Jan 1, 2024

Abstract

PURPOSE: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combined with artificial intelligence-derived coronary computed tomography angiography (PC-CCTA) stenosis quantification and fractional flow reserve prediction (FFRai) for the assessment of coronary artery disease (CAD) in transcatheter aortic valve replacement (TAVR) work-up.

Authors

  • Jan M Brendel
    Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
  • Jonathan Walterspiel
    Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
  • Florian Hagen
    Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
  • Jens Kübler
    Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
  • Jean-François Paul
    Institut Mutualiste Montsouris : 42 Boulevard Jourdan, 75014 Paris. Electronic address: dr.jfpaul@gmail.com.
  • Konstantin Nikolaou
    Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
  • Meinrad Gawaz
    Department of Cardiology and Angiology, University of Tübingen, 72076 Tübingen, Germany.
  • Simon Greulich
    Department of Internal Medicine III, Cardiology and Angiology, University of Tübingen, 72076 Germany.
  • Patrick Krumm
    Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany. Electronic address: patrick.krumm@med.uni-tuebingen.de.
  • Moritz Winkelmann
    Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.

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