Improved detection of air trapping on expiratory computed tomography using deep learning.

Journal: PloS one
Published Date: Jan 1, 2021

Abstract

BACKGROUND: Radiologic evidence of air trapping (AT) on expiratory computed tomography (CT) scans is associated with early pulmonary dysfunction in patients with cystic fibrosis (CF). However, standard techniques for quantitative assessment of AT are highly variable, resulting in limited efficacy for monitoring disease progression.

Authors

  • Sundaresh Ram
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Benjamin A Hoff
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Alexander J Bell
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Stefanie Galban
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Aleksa B Fortuna
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Oliver Weinheimer
    Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
  • Mark O Wielpütz
    Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
  • Terry E Robinson
    Department of Pediatrics, Center of Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, California, United States of America.
  • Beverley Newman
    Department of Pediatric Radiology, Lucile Packard Children's Hospital at Stanford, Stanford, California, United States of America.
  • Dharshan Vummidi
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Aamer Chughtai
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Ella A Kazerooni
    Departments of Radiology & Internal Medicine, University of Michigan Medical School, Michigan, MI, USA.
  • Timothy D Johnson
    Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • MeiLan K Han
    Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan.
  • Charles R Hatt
    University of Wisconsin - Madison, College of Engineering, Department of Biomedical Engineering, 1415 Engineering Drive, Madison, WI 53706, USA; Philips Research North America, 345 Scarborough Road, Briarcliff Manor, NY 10510, USA.
  • Craig J Galban
    Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.

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