Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.

Journal: BMC cardiovascular disorders
Published Date:

Abstract

BACKGROUND: Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFR) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-FFR compared to stress perfusion cardiovascular magnetic resonance (CMR) and tested if there is an additional value of CT-FFR over coronary computed tomography angiography (cCTA).

Authors

  • Dirk Lossnitzer
    First Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany.
  • Selina Klenantz
    First Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany.
  • Florian André
    University of Heidelberg, Department of Cardiology, Angiology and Pneumology, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany. Electronic address: florian.andre@med.uni-heidelberg.de.
  • Johannes Goerich
    The Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Heidelberg, Germany.
  • 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.).
  • Kyle L Pazzo
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
  • Andre Sommer
    The Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Heidelberg, Germany.
  • Matthias Brado
    The Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Heidelberg, Germany.
  • Friedemann Gückel
    The Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Heidelberg, Germany.
  • Roman Sokiranski
    The Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Heidelberg, Germany.
  • Tobias Becher
    First Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany.
  • Ibrahim Akin
    First Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany.
  • Sebastian J Buss
    University of Heidelberg, Department of Cardiology, Angiology and Pneumology, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany; Das Radiologische Zentrum - Radiology Center, Sinsheim-Eberbach-Erbach-Walldorf-Heidelberg, Rohrbacher Straße 149, Heidelberg, 69126, Germany.
  • Stefan Baumann
    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.).