Bayat, S. orcid.org/0000-0002-8565-0293, Wild, J. orcid.org/0000-0002-7246-8660 and Winkler, T. orcid.org/0000-0002-7276-5550 (2023) Lung functional imaging. Breathe, 19 (3). 220272. ISSN 1810-6838
Abstract
Pulmonary functional imaging modalities such as computed tomography, magnetic resonance imaging and nuclear imaging can quantitatively assess regional lung functional parameters and their distributions. These include ventilation, perfusion, gas exchange at the microvascular level and biomechanical properties, among other variables. This review describes the rationale, strengths and limitations of the various imaging modalities employed for lung functional imaging. It also aims to explain some of the most commonly measured parameters of regional lung function. A brief review of evidence on the role and utility of lung functional imaging in early diagnosis, accurate lung functional characterisation, disease phenotyping and advancing the understanding of disease mechanisms in major respiratory disorders is provided.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 ERS. Breathe articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. https://creativecommons.org/licenses/by-nc/4.0/ |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Dec 2023 15:12 |
Last Modified: | 12 Dec 2023 15:12 |
Status: | Published |
Publisher: | European Respiratory Society (ERS) |
Refereed: | Yes |
Identification Number: | 10.1183/20734735.0272-2022 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206448 |