Predicting Usual Interstitial Pneumonia Histopathology From Chest CT Imaging With Deep Learning.

Journal: Chest
Published Date:

Abstract

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial lung disease (ILD) characterized by the absence of a known cause and usual interstitial pneumonitis (UIP) pattern on chest CT imaging and/or histopathology. Distinguishing UIP/IPF from other ILD subtypes is essential given different treatments and prognosis. Lung biopsy is necessary when noninvasive data are insufficient to render a confident diagnosis.

Authors

  • Alex Bratt
    Department of Radiology, Weill Cornell Medicine, 525 E 68th St, New York, NY, 10065, USA.
  • James M Williams
    Mayo Clinic, Rochester, MN.
  • Grace Liu
    Mayo Clinic, Rochester, MN.
  • Ananya Panda
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
  • Parth P Patel
    Mayo Clinic, Rochester, MN.
  • Lara Walkoff
    Mayo Clinic, Rochester, MN.
  • Anne-Marie G Sykes
    Mayo Clinic, Rochester, MN.
  • Yasmeen K Tandon
    Department of Radiology, Mayo Clinic, 200 1stSt SW, Rochester, MN, 55902, USA.
  • Christopher J Francois
    Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States.
  • Daniel J Blezek
    Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Nicholas B Larson
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
  • Bradley J Erickson
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Eunhee S Yi
    Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Teng Moua
    Mayo Clinic, Rochester, MN.
  • Chi Wan Koo
    Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA. Electronic address: koo.chiwan@mayo.edu.