Deep Learning–based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis-Reference-Cited by-同舟云学术

Deep Learning–based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis

Published:2024-08-15 Issue:4 Volume:210 Page:465-472
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:

Thillai Muhunthan¹²,Oldham Justin M.³^ORCID,Ruggiero Alessandro¹²,Kanavati Fahdi²,McLellan Tom¹,Saini Gauri⁴,Johnson Simon R.⁴^ORCID,Ble Francois-Xavier⁵,Azim Adnan⁵,Ostridge Kristoffer⁶⁷,Platt Adam⁶,Belvisi Maria⁸⁹,Maher Toby M.⁸¹⁰^ORCID,Molyneaux Philip L.⁸¹¹^ORCID

Affiliation:

1. Royal Papworth Hospital, Cambridge, United Kingdom;

2. Qureight Ltd., Cambridge, United Kingdom;

3. Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan;

4. Translational Medical Sciences, National Institute for Health and Care Research Biomedical Research Centre and Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom;

5. Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom;

6. Translational Science and Experimental Medicine,

7. Faculty of Medicine, University of Southampton, Southampton, United Kingdom;

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

9. Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden;

10. Keck School of Medicine, University of Southern California, Los Angeles, California; and

11. Royal Brompton and Harefield Hospital, Guy’s and St. Thomas’ NHS Foundation Trust, London, United Kingdom

Funder

Qureight Ltd.

Publisher

American Thoracic Society

Link

https://www.atsjournals.org/doi/pdf/10.1164/rccm.202311-2185OC

Reference35 articles.

1. Incidence, Prevalence, and Clinical Course of Idiopathic Pulmonary Fibrosis

2. Forced Vital Capacity in Idiopathic Pulmonary Fibrosis — FDA Review of Pirfenidone and Nintedanib

3. Lung function trajectory in progressive fibrosing interstitial lung disease

4. Validation of Proposed Criteria for Progressive Pulmonary Fibrosis

5. Fibrose pulmonaire idiopathique : prise en charge diagnostique et thérapeutique en 2013

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