Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis.

Journal: European journal of nuclear medicine and molecular imaging
PMID:

Abstract

PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patients with severe aortic stenosis (AS), yet it often remains undetected. This study aims to comprehensively evaluate artificial intelligence-based models developed based on preprocedural and routinely collected data to detect ATTR-CM in patients with severe AS planned for transcatheter aortic valve implantation (TAVI).

Authors

  • Isaac Shiri
    Biomedical and Health Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Sebastian Balzer
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Giovanni Baj
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Benedikt Bernhard
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Moritz Hundertmark
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Adam Bakula
    Department of Nuclear Medicine, Cardiac Imaging, University and University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland. Electronic address: adam.bakula@usz.ch.
  • Masaaki Nakase
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Daijiro Tomii
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Giulia Barbati
    1 Cardiovascular Department, "Ospedali Riuniti" and University of Trieste, Trieste, Italy.
  • Stephan Dobner
    Department of Cardiology, Inselspital Bern University Hospital, University of Bern, Freiburgstrasse, Bern, CH - 3010, Switzerland.
  • Waldo Valenzuela
    Insel Data Science Center, Inselspital, Bern University Hospital, Murtenstrasse 42, CH-3008, Bern, Switzerland.
  • Axel Rominger
  • Federico Caobelli
    Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
  • George C M Siontis
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Jonas Lanz
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Thomas Pilgrim
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Stephan Windecker
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
  • Stefan Stortecky
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
  • Christoph Gräni
    Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.