Dynamic flow characteristics in normal and asthmatic lungs. (25th June 2015)
- Record Type:
- Journal Article
- Title:
- Dynamic flow characteristics in normal and asthmatic lungs. (25th June 2015)
- Main Title:
- Dynamic flow characteristics in normal and asthmatic lungs
- Authors:
- Kim, Minsuok
Bordas, Rafel
Vos, Wim
Hartley, Ruth A.
Brightling, Chris E.
Kay, David
Grau, Vicente
Burrowes, Kelly S. - Abstract:
- Summary: Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient‐specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high‐resolution CT data and a volume‐filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra‐acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flowSummary: Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient‐specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high‐resolution CT data and a volume‐filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra‐acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Copyright © 2015 John Wiley & Sons, Ltd. Abstract : We modeled dynamic pressure and flow changes in normal, virtually constricted and asthmatic airway geometries using a fully coupled model of airway dynamics and an airway network system. The asthmatic airway model showed elevated ventilation heterogeneity and temporal flow disturbance, reverse flow, which ultimately affected total lung resistance. This study suggests that dynamic flow characteristics may be an important factor for asthmatic lung function. … (more)
- Is Part Of:
- International journal for numerical methods in biomedical engineering. Volume 31:Number 12(2015:Dec.)
- Journal:
- International journal for numerical methods in biomedical engineering
- Issue:
- Volume 31:Number 12(2015:Dec.)
- Issue Display:
- Volume 31, Issue 12 (2015)
- Year:
- 2015
- Volume:
- 31
- Issue:
- 12
- Issue Sort Value:
- 2015-0031-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2015-06-25
- Subjects:
- lung ventilation model -- airway network -- airway constriction -- asthma -- reverse flow
Biomedical engineering -- Periodicals
Imaging systems in medicine -- Periodicals
Numerical analysis -- Periodicals
Engineering mathematics -- Periodicals
610.28 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2040-7947 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cnm.2730 ↗
- Languages:
- English
- ISSNs:
- 2040-7939
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.403550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2740.xml