Deep Learning–based Outcome Prediction in Progressive Fibrotic Lung Disease Using High-Resolution Computed Tomography-Reference-Cited by-同舟云学术

Deep Learning–based Outcome Prediction in Progressive Fibrotic Lung Disease Using High-Resolution Computed Tomography

Published:2022-10-01 Issue:7 Volume:206 Page:883-891
ISSN:1073-449X
Container-title:American Journal of Respiratory and Critical Care Medicine
language:en
Short-container-title:Am J Respir Crit Care Med

Author:

Walsh Simon L. F.¹,Mackintosh John A.²^ORCID,Calandriello Lucio³^ORCID,Silva Mario⁴^ORCID,Sverzellati Nicola⁴^ORCID,Larici Anna Rita³^ORCID,Humphries Stephen M.⁵^ORCID,Lynch David A.⁵,Jo Helen E.⁶,Glaspole Ian⁷^ORCID,Grainge Christopher⁸^ORCID,Goh Nicole⁹¹⁰¹¹,Hopkins Peter M. A.²¹²,Moodley Yuben¹³^ORCID,Reynolds Paul N.¹⁴,Zappala Christopher¹⁵,Keir Gregory¹⁶,Cooper Wendy A.¹⁷¹⁸,Mahar Annabelle M.¹⁷,Ellis Samantha¹⁹,Wells Athol U.¹²⁰,Corte Tamera J.⁶

Affiliation:

1. National Heart and Lung Institute, Imperial College London, London, United Kingdom;

2. Queensland Lung Transplant Service, The Prince Charles Hospital, Brisbane, Queensland, Australia;

3. Dipartimento di Diagnostica per immagini, Radioterapia, Oncologia ed Ematologia, Fondazione Policlinico Universitario A. Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy;

4. Scienze Radiologiche, Dipartimento di Medicina e Chirurgia, Università di Parma, Parma, Italy;

5. Department of Radiology, National Jewish Health, Denver, Colorado;

6. Respiratory Medicine, Royal Prince Alfred Hospital, New South Wales, Australia;

7. Department of Allergy and Respiratory Medicine, Alfred Hospital, Melbourne, Victoria, Australia;

8. Department of Respiratory Medicine, New Lambton Heights, John Hunter Hospital, New South Wales, Australia;

9. Department of Respiratory and Sleep Medicine, Austin Health, Melbourne, Victoria, Australia;

10. Institute for Breathing and Sleep, Melbourne, Victoria, Australia;

11. University of Melbourne, Melbourne, Victoria, Australia;

12. Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia;

13. School of Medicine & Pharmacology, University of Western Australia, Perth, Western Australia, Australia;

14. Royal Adelaide Hospital Chest Clinic, Adelaide, South Australia, Australia;

15. Royal Brisbane and Women’s Hospital, Brisbane, Queensland, Australia;

16. Department of Respiratory Medicine, Princess Alexandra Hospital, Brisbane, Queensland, Australia;

17. Tissue Pathology and Diagnostic Oncology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia;

18. School of Medicine, University of Sydney, Sydney, New South Wales, Australia;

19. Department of Radiology, Alfred Health, Melbourne, Victoria, Australia; and

20. Interstitial Lung Disease Unit, Royal Brompton Hospital, London, United Kingdom

Funder

National Institutes of Health Research

Publisher

American Thoracic Society

Subject

Critical Care and Intensive Care Medicine,Pulmonary and Respiratory Medicine

Link

https://www.atsjournals.org/doi/pdf/10.1164/rccm.202112-2684OC

Reference21 articles.

1. Idiopathic pulmonary fibrosis

2. Diagnosis of Idiopathic Pulmonary Fibrosis. An Official ATS/ERS/JRS/ALAT Clinical Practice Guideline

3. Nintedanib in Progressive Fibrosing Interstitial Lung Diseases

4. Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study

5. Imaging research in fibrotic lung disease; applying deep learning to unsolved problems

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