Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal: Journal of cardiovascular computed tomography
PMID:

Abstract

BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among patients with severe aortic stenosis (AS) undergoing coronary CT angiography (CCTA) before transcatheter aortic valve replacement (TAVR).

Authors

  • Emese Zsarnóczay
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Akos Varga-Szemes
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • U Joseph Schoepf
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • Saikiran Rapaka
    From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., S.B., M.R., T.W.M., T.M.D., R.R.B., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260; Department of Computed Tomography-Research & Development, Siemens Healthcare GmbH, Forchheim, Germany (K.L.G., C.C., C.S., M.S.); Department of Corporate Technology, Siemens SRL, Brasov, Romania (L.M.I.); and Department of Medical Imaging Technologies, Siemens Healthcare, Princeton, NJ (S.R., P.S.).
  • Daniel Pinos
    Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Gilberto J Aquino
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Nicola Fink
    Department of Radiology, University Hospital, LMU Munich, Munich, Germany. nicola.fink@med.uni-muenchen.de.
  • Milán Vecsey-Nagy
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA; Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
  • Giuseppe Tremamunno
    Radiology Unit, Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
  • Dmitrij Kravchenko
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Muhammad Taha Hagar
    Department of Diagnostic and Interventional Radiology, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA. Electronic address: hagarmu@musc.edus.
  • Nicholas S Amoroso
    Division in Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Daniel H Steinberg
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina.
  • Athira Jacob
    Siemens Healthineers, Princeton, NJ, USA.
  • Jim O'Doherty
    Siemens Healthineers, Princeton, New Jersey.
  • Puneet Sharma
    Digital Technologies and Innovation, Siemens Healthineers, Princeton, NJ, United States.
  • Pál Maurovich-Horvat
    Philips Medical Systems Technologies Ltd., Advanced Technologies Center, Haifa, 3100202, Israel.
  • Tilman Emrich
    Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA.