Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.

Journal: BMC medicine
Published Date: Mar 4, 2021

Abstract

BACKGROUND: Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet to be demonstrated in the context of current screening modalities. Here, we present findings on the performance of an AI convolutional neural network (CNN) prototype (AI-RAD Companion, Siemens Healthineers) that automatically detects pulmonary nodules and quantifies coronary artery calcium volume (CACV) on low-dose chest CT (LDCT), and compare results to expert radiologists. We also correlate AI findings with adverse cardiopulmonary outcomes in a retrospective cohort of 117 patients who underwent LDCT.

Authors

  • Jordan Chamberlin
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Madison R Kocher
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Jeffrey Waltz
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Madalyn Snoddy
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Natalie F C Stringer
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Joseph Stephenson
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, 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.
  • 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.).
  • 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.).
  • Andres F Abadia
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Jonathan Sperl
    Siemens Healthineers, Princeton, NJ, USA.
  • Phillip Hoelzer
    Siemens Healthineers, Princeton, NJ, USA.
  • Megan Mercer
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Nayana Somayaji
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Gilberto Aquino
    Department of Radiology, Medical University of South Carolina, Charleston, SC, 29403, USA.
  • Jeremy R Burt
    1 Department of Radiology, Florida Hospital , Orlando, FL , USA.

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