Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes.

Journal: Journal of cardiovascular computed tomography
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Low-dose computed tomography (LDCT) are performed routinely for lung cancer screening. However, a large amount of nonpulmonary data from these scans remains unassessed. We aimed to validate a deep learning model to automatically segment and measure left atrial (LA) volumes from routine NCCT and evaluate prediction of cardiovascular outcomes.

Authors

  • Gilberto J Aquino
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Jordan Chamberlin
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Megan Mercer
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Madison Kocher
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Ismail Kabakus
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Selcuk Akkaya
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Matthew Fiegel
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Sean Brady
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Nathan Leaphart
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Andrew Dippre
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Vincent Giovagnoli
    Medical University of South Carolina, Department of Radiology and Radiological Science, USA.
  • Basel Yacoub
    Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.
  • Athira Jacob
    Siemens Healthineers, Princeton, NJ, USA.
  • Mehmet Akif Gulsun
    Siemens Healthineers, Princeton, NJ, USA.
  • Pooyan Sahbaee
    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.).
  • Puneet Sharma
    Digital Technologies and Innovation, Siemens Healthineers, Princeton, NJ, United States.
  • Jeffrey Waltz
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • 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.).
  • Dhiraj Baruah
    Department of Radiology and Radiological Science; Medical University of South Carolina, Charleston, South Carolina.
  • 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.
  • Stefan Zimmerman
    Department of Radiology, Johns Hopkins University, Baltimore, Maryland.
  • Michael E Field
    From the Division of Cardiovascular Medicine, Department of Medicine, School of Medicine and Public Health (M.M.K., R.T.K., M.C.T., M.E.F., L.L.E.), Department of Biostatistics and Medical Informatics (C.M., K.A.B., D.L.D., C.D.P.), University of Wisconsin Institute for Clinical and Translational Research (C.M.), and Department of Computer Sciences (C.D.P.), University of Wisconsin-Madison.
  • Ali M Agha
    Baylor College of Medicine, Department of Medicine, USA.
  • Jeremy R Burt
    1 Department of Radiology, Florida Hospital , Orlando, FL , USA.

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