Deep learning to detect left ventricular structural abnormalities in chest X-rays.

Journal: European heart journal
PMID:

Abstract

BACKGROUND AND AIMS: Early identification of cardiac structural abnormalities indicative of heart failure is crucial to improving patient outcomes. Chest X-rays (CXRs) are routinely conducted on a broad population of patients, presenting an opportunity to build scalable screening tools for structural abnormalities indicative of Stage B or worse heart failure with deep learning methods. In this study, a model was developed to identify severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) using CXRs.

Authors

  • Shreyas Bhave
    Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Víctor Rodríguez
    EduQTech, E.U. Politécnica, Maria Lluna 3, 50018 Zaragoza, Spain.
  • Timothy Poterucha
    Seymour, Paul and Gloria Milstein Division of Cardiology, Columbia University Irving Medical Center, New York, New York, USA.
  • Simukayi Mutasa
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Dwight Aberle
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Kathleen M Capaccione
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Yibo Chen
  • Belinda Dsouza
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Shifali Dumeer
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Jonathan Goldstein
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Aaron Hodes
    Hackensack Radiology Group, Hackensack Meridian School of Medicine, Nutley, NJ, USA.
  • Jay Leb
    Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA.
  • Matthew Lungren
    Department of Radiology, University of California, SanFrancisco, CA, USA.
  • Mitchell Miller
    Hackensack Radiology Group, Hackensack Meridian School of Medicine, Nutley, NJ, USA.
  • David Monoky
    Hackensack Radiology Group, Hackensack Meridian School of Medicine, Nutley, NJ, USA.
  • Benjamin Navot
    Department of Radiology, Columbia University Irving Medical Center, NewYork, NY, USA.
  • Kapil Wattamwar
    Division of Vascular and Interventional Radiology, Department of Radiology, Montefiore Medical Center, Bronx, NY, USA.
  • Anoop Wattamwar
    Hackensack Radiology Group, Hackensack Meridian School of Medicine, Nutley, NJ, USA.
  • Kevin Clerkin
    Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, 630 West 168th Street, NewYork, NY 10032, USA.
  • David Ouyang
    Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Euan Ashley
    Division of Cardiovascular Medicine, Stanford University, Palo Alto, California; Departments of Medicine, Genetics, and Biomedical Data Science, Stanford University, Palo Alto, California; Center for Inherited Cardiovascular Disease, Stanford University, Palo Alto, California.
  • Veli K Topkara
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Mathew Maurer
    Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center/New York-Presbyterian Hospital, NY (A.L., G.M., E.D., T.M., M.M., A.J.E., D.K., S.H., Q.L., V.A., M. Lebehn, M. Leon, R.H., P.E., T.J.P.).
  • Andrew J Einstein
    Division of Cardiology, Department of Medicine, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York; Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York.
  • Nir Uriel
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Shunichi Homma
    Department of Medicine, Columbia University, New York, NY, USA.
  • Allan Schwartz
    Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital, New York, New York, USA.
  • Diego Jaramillo
    Department of Radiology, Columbia University Irving Medical Center/Children's Hospital of New York, 3959 Broadway, NY, 10032, New York, USA.
  • Adler J Perotte
    Department of Biomedical Informatics, Columbia University, New York, New York, USA. Electronic address: adler.perotte@columbia.edu.
  • Pierre Elias
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.