Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia.

Journal: Clinical imaging
Published Date: Jul 1, 2021

Abstract

PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Authors

  • Chiara Arru
    Massachusetts General Hospital, 55 Fruit Street, Boston, MA, USA.
  • Shadi Ebrahimian
  • Zeno Falaschi
    Department of Radiology, A.O.U, "Maggiore d.c." Universiy of Eastern Piedmont, Novara, Italy.
  • Jacob Valentin Hansen
    Department of Cardiology, Department of Clinical Medicine, Aarhus University Hospital, Palle Juul Jensens Boulevard 99, 8200 Aarhus N, Denmark. Electronic address: jvh@clin.au.dk.
  • Alessio Paschè
    Department of Radiology, A.O.U, "Maggiore d.c." Universiy of Eastern Piedmont, Novara, Italy.
  • Mads Dam Lyhne
    Department of Cardiology, Department of Clinical Medicine, Aarhus University Hospital, Palle Juul Jensens Boulevard 99, 8200 Aarhus N, Denmark. Electronic address: mads.dam@clin.au.dk.
  • Mathis Zimmermann
    Siemens Healthcare GmbH, Diagnostic Imaging, Erlangen, Germany. Electronic address: mathis.zimmermann@siemens-healthineers.com.
  • Felix Durlak
    Siemens Healthcare GmbH, Diagnostic Imaging, Erlangen, Germany. Electronic address: felix.durlak.ext@siemens-healthineers.com.
  • Matthias Mitschke
    Siemens Healthcare GmbH, Diagnostic Imaging, Erlangen, Germany. Electronic address: matthias.mitschke@siemens-healthineers.com.
  • Alessandro Carriero
  • Jens Erik Nielsen-Kudsk
    Department of Cardiology, Department of Clinical Medicine, Aarhus University Hospital, Palle Juul Jensens Boulevard 99, 8200 Aarhus N, Denmark.
  • Mannudeep K Kalra
  • Luca Saba
    Department of Radiology, A.O.U., Italy.

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