The diagnostic performance of deep-learning-based CT severity score to identify COVID-19 pneumonia.

Journal: The British journal of radiology
Published Date: Jan 1, 2022

Abstract

OBJECTIVE: To determine the diagnostic accuracy of a deep-learning (DL)-based algorithm using chest computed tomography (CT) scans for the rapid diagnosis of coronavirus disease 2019 (COVID-19), as compared to the reference standard reverse-transcription polymerase chain reaction (RT-PCR) test.

Authors

  • Anna Sára Kardos
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Judit Simon
    MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor Street, Budapest, Hungary.
  • Chiara Nardocci
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • István Viktor Szabó
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Norbert Nagy
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Renad Heyam Abdelrahman
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Emese Zsarnóczay
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Bence Fejér
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Balázs Futácsi
    Medical Imaging Centre, Semmelweis University, Budapest, Hungary.
  • Veronika Müller
    Department of Pulmonology, Semmelweis University, Budapest, Hungary.
  • 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.).
  • Pál Maurovich-Horvat
    Philips Medical Systems Technologies Ltd., Advanced Technologies Center, Haifa, 3100202, Israel.

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