Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms.

Journal: JACC. Cardiovascular imaging
Published Date: May 10, 2023

Abstract

BACKGROUND: Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, conventional 2-dimensional (2D) echocardiographic assessment is unable to leverage the same clinical information that 3-dimensional (3D) echocardiography-derived right ventricular ejection fraction (RVEF) can provide.

Authors

  • Márton Tokodi
    Division of Cardiology, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia.
  • Bálint Magyar
    Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • András Soós
    Heart and Vascular Center, Semmelweis University, Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Masaaki Takeuchi
    Department of Laboratory and Transfusion Medicine, University Hospital, University of Occupational and Environmental Health, Kitakyushu, Japan.
  • Máté Tolvaj
    Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
  • Bálint Károly Lakatos
    Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
  • Tetsuji Kitano
    Department of Cardiology and Nephrology, Wakamatsu Hospital, University of Occupational and Environmental Health, Kitakyushu, Japan.
  • Yosuke Nabeshima
    Second Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
  • Alexandra Fábián
    Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
  • Mark Bence Szigeti
    Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary.
  • Andras Horvath
  • Béla Merkely
    From the MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Varosmajor St, 1122 Budapest, Hungary (M.K., J.K., B.M., P.M.H.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (J.K., Y.K., A.I., M.T.L., B.F., H.J.A., U.H.); Center for Cause of Death Investigation, Faculty of Medicine, Hokkaido University, Hokkaido, Japan (Y.K.); Department for Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Freiburg, Germany (C.L.S.); and Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (H.J.A.).
  • Attila Kovács
    University of Szeged, Interdisciplinary Excellence Centre, Hungary.

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