Theoretical Models for the Quantification of Lung Injury Using Ventilation and Perfusion Distributions

Brook, B. S.; Murphy, C. M.; Breen, D.; Miles, A. W.; Tilley, D. G.; Wilson, A. J.

doi:https://doi.org/10.1080/17486700802201592

Computational and Mathematical Methods in Medicine

/ / Article

On this page

AbstractCopyrightRelated articles

Original Article | Open Access

Volume 10 |Article ID 569179 | https://doi.org/10.1080/17486700802201592

B. S. Brook, C. M. Murphy, D. Breen, A. W. Miles, D. G. Tilley, A. J. Wilson, "Theoretical Models for the Quantification of Lung Injury Using Ventilation and Perfusion Distributions", Computational and Mathematical Methods in Medicine, vol. 10, Article ID 569179, 16 pages, 2009. https://doi.org/10.1080/17486700802201592

Theoretical Models for the Quantification of Lung Injury Using Ventilation and Perfusion Distributions

B. S. Brook,¹ C. M. Murphy,² D. Breen,³ A. W. Miles,² D. G. Tilley,² and A. J. Wilson⁴

¹School of Mathematical Sciences, University of Nottingham, Nottingham, UK

²Department of Mechanical Engineering, University of Bath, Bath, UK

³Department of Anaesthesthetics, Royal Hallamshire Hospital, Sheffield, UK

⁴Department of Physics, University of Warwick, Coventry, UK

Received10 Mar 2007

Accepted21 Mar 2008

Abstract

This paper describes two approaches to modelling lung disease: one based on a multi-compartment statistical model with a log normal distribution of ventilation perfusion ratio (V˙/Q˙) values; and the other on a bifurcating tree which emulates the anatomical structure of the lung. In the statistical model, the distribution becomes bimodal, when the V˙/Q˙ values of a randomly selected number of compartments are reduced by 85% to simulate lung disease. For the bifurcating tree model a difference in flow to the left and right branches coupled with a small random variation in flow ratio between generations results in a log normal distribution of flows in the terminal branches. Restricting flow through branches within the tree to simulate lung disease transforms this log normal distribution to a bi-modal one. These results are compatible with those obtained from experiments using the multiple inert gas elimination technique, where log normal distributions of V˙/Q˙ ratio become bimodal in the presence of lung disease.

Copyright

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

No related content is available yet for this article.

PDF

Download Citation

Citation

Order printed copiesOrder

Downloads802

Citations