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Potential for non-invasive assessment of lung inhomogeneity using highly precise, highly time-resolved, measurements of gas exchange

Abstract:

Inhomogeneity in the lung impairs gas exchange and can be an early marker of lung disease. We hypothesised that highly precise measurements of gas exchange contain sufficient information to quantify many aspects of the inhomogeneity non-invasively. Our aim was to explore whether one parameterization of lung inhomogeneity could both fit such data and provide reliable parameter estimates. A mathematical model of gas exchange in an inhomogeneous lung was developed, containing inhomogeneity param...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1152/japplphysiol.00745.2017

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Institution:
University of Oxford
Division:
Mathematical, Physical and Life Sciences Division
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Physiology Anatomy and Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Physiology Anatomy and Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Mathematical, Physical and Life Sciences Division
Department:
Chemistry; Physical and Theoretical Chemistry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Mathematical, Physical and Life Sciences Division
Department:
Chemistry; Physical and Theoretical Chemistry
Role:
Author
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National Institute for Health Research More from this funder
Publisher:
American Physiological Society Publisher's website
Journal:
Journal of Applied Physiology Journal website
Volume:
124
Issue:
3
Pages:
615–631
Publication date:
2018-03-13
Acceptance date:
2017-10-23
DOI:
EISSN:
1522-1601
ISSN:
8750-7587
Pubs id:
pubs:739228
URN:
uri:f66b1c4f-9ce9-43e2-aa3f-601b6956a0c8
UUID:
uuid:f66b1c4f-9ce9-43e2-aa3f-601b6956a0c8
Local pid:
pubs:739228

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