A Deep Learning-Based Radiomic Classifier for Usual Interstitial Pneumonia.

Journal: Chest
Published Date:

Abstract

BACKGROUND: Because chest CT scan has largely supplanted surgical lung biopsy for diagnosing most cases of interstitial lung disease (ILD), tools to standardize CT scan interpretation are urgently needed.

Authors

  • Jonathan H Chung
    Department of Radiology, University of Chicago Medicine, Chicago, IL, USA.
  • Lydia Chelala
    Department of Radiology, University of Chicago, Chicago, IL.
  • Janelle Vu Pugashetti
    Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI.
  • Jennifer M Wang
    Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI.
  • Ayodeji Adegunsoye
    Division of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, IL.
  • Alexander W Matyga
    Department of Radiology, University of Chicago, Chicago, IL.
  • Lauren Keith
    Imbio, Inc, Minneapolis, MN.
  • Kai Ludwig
    Imbio, Inc, Minneapolis, MN.
  • Sahar Zafari
    Imbio, Inc, Minneapolis, MN.
  • Sahand Ghodrati
    Department of Radiology, University of California at Davis, Sacramento, CA.
  • Ahmadreza Ghasemiesfe
    Department of Radiology, University of California at Davis, Sacramento, CA.
  • Henry Guo
    Department of Radiology, Stanford University, Palo Alto, CA.
  • Eleanor Soo
    Heart and Lung Imaging, Ltd, London, England.
  • Stephen Lyen
    Heart and Lung Imaging, Ltd, London, England.
  • Charles Sayer
    Heart and Lung Imaging, Ltd, London, England.
  • Charles Hatt
    Imbio, Inc, Minneapolis, MN.
  • Justin M Oldham
    Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI; Department of Epidemiology, University of Michigan, Ann Arbor, MI. Electronic address: oldhamj@med.umich.edu.