Ghent University Academic Bibliography

Advanced

A case series on lung deposition analysis of inhaled medication using functional imaging based computational fluid dynamics in asthmatic patients: effect of upper airway morphology and comparison with in vivo data

Samir Vinchurkar, Lieve De Backer, Wim Vos, Cedric Van Holsbeke UGent, Jan De Backer and Wilfried De Backer (2012) INHALATION TOXICOLOGY. 24(2). p.81-88
abstract
Context: Asthma affects 20 million Americans resulting in an economic burden of approximately $18 billion in the US alone (Allergies and Asthma Foundation 2000; National Center for Environmental Health (NCEH) 1999). Research studies based on differences in patient-specific airway morphology for asthma and the associated effect on deposition of inhaled aerosols are currently not available in the literature. Therefore, the role of morphological variations such as upper airway (extrathoracic) occlusion is not well documented. Objective: Functional imaging based computational fluid dynamics (CFD) of the respiratory airways for five asthmatic subjects is performed in this study using computed tomography (CT) based patient-specific airway models and boundary conditions. Methods: CT scans for 5 asthma patients were used to reconstruct 3D lung models using segmentation software. An averaged inhalation profile and patient-specific lobar flow distribution were used to perform the simulation. The simulations were used to obtain deposition for BDP/Formoterol (R) HFA pMDI in the patient-specific airway models. Results: The lung deposition obtained using CFD was in excellent agreement with available in vivo data using the same product. Specifically, CFD resulted in 30% lung deposition, whereas in vivo lung deposition was reported to be approximately 31%. Conclusion: It was concluded that a combination of patient-specific airway models and lobar boundary conditions can be used to obtain accurate lung deposition estimates. Lower lung deposition can be expected for patients with higher extrathoracic resistance. Novel respiratory drug delivery devices need to accommodate population subgroups based on these morphological and anatomical differences in addition to subject age.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
FLOW, MODEL, CT, NASAL MOLD, LARYNGEAL JET, RESPIRATORY-TRACT, PARTICLE DEPOSITION, LARGE-EDDY SIMULATION, SLEEP-APNEA, AEROSOL TRANSPORT, asthma, in vivo, computational fluid dynamics, patient-specific airway models, Lung deposition
journal title
INHALATION TOXICOLOGY
Inhal. Toxicol.
volume
24
issue
2
pages
81 - 88
Web of Science type
Article
Web of Science id
000299744800001
JCR category
TOXICOLOGY
JCR impact factor
1.894 (2012)
JCR rank
58/85 (2012)
JCR quartile
3 (2012)
ISSN
0895-8378
DOI
10.3109/08958378.2011.644351
language
English
UGent publication?
no
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2028954
handle
http://hdl.handle.net/1854/LU-2028954
date created
2012-02-13 18:07:16
date last changed
2012-03-06 10:34:19
@article{2028954,
  abstract     = {Context: Asthma affects 20 million Americans resulting in an economic burden of approximately \$18 billion in the US alone (Allergies and Asthma Foundation 2000; National Center for Environmental Health (NCEH) 1999). Research studies based on differences in patient-specific airway morphology for asthma and the associated effect on deposition of inhaled aerosols are currently not available in the literature. Therefore, the role of morphological variations such as upper airway (extrathoracic) occlusion is not well documented. 
Objective: Functional imaging based computational fluid dynamics (CFD) of the respiratory airways for five asthmatic subjects is performed in this study using computed tomography (CT) based patient-specific airway models and boundary conditions. 
Methods: CT scans for 5 asthma patients were used to reconstruct 3D lung models using segmentation software. An averaged inhalation profile and patient-specific lobar flow distribution were used to perform the simulation. The simulations were used to obtain deposition for BDP/Formoterol (R) HFA pMDI in the patient-specific airway models. 
Results: The lung deposition obtained using CFD was in excellent agreement with available in vivo data using the same product. Specifically, CFD resulted in 30\% lung deposition, whereas in vivo lung deposition was reported to be approximately 31\%. 
Conclusion: It was concluded that a combination of patient-specific airway models and lobar boundary conditions can be used to obtain accurate lung deposition estimates. Lower lung deposition can be expected for patients with higher extrathoracic resistance. Novel respiratory drug delivery devices need to accommodate population subgroups based on these morphological and anatomical differences in addition to subject age.},
  author       = {Vinchurkar, Samir and De Backer, Lieve and Vos, Wim and Van Holsbeke, Cedric and De Backer, Jan and De Backer, Wilfried},
  issn         = {0895-8378},
  journal      = {INHALATION TOXICOLOGY},
  keyword      = {FLOW,MODEL,CT,NASAL MOLD,LARYNGEAL JET,RESPIRATORY-TRACT,PARTICLE DEPOSITION,LARGE-EDDY SIMULATION,SLEEP-APNEA,AEROSOL TRANSPORT,asthma,in vivo,computational fluid dynamics,patient-specific airway models,Lung deposition},
  language     = {eng},
  number       = {2},
  pages        = {81--88},
  title        = {A case series on lung deposition analysis of inhaled medication using functional imaging based computational fluid dynamics in asthmatic patients: effect of upper airway morphology and comparison with in vivo data},
  url          = {http://dx.doi.org/10.3109/08958378.2011.644351},
  volume       = {24},
  year         = {2012},
}

Chicago
Vinchurkar, Samir, Lieve De Backer, Wim Vos, Cedric Van Holsbeke, Jan De Backer, and Wilfried De Backer. 2012. “A Case Series on Lung Deposition Analysis of Inhaled Medication Using Functional Imaging Based Computational Fluid Dynamics in Asthmatic Patients: Effect of Upper Airway Morphology and Comparison with in Vivo Data.” Inhalation Toxicology 24 (2): 81–88.
APA
Vinchurkar, S., De Backer, L., Vos, W., Van Holsbeke, C., De Backer, J., & De Backer, W. (2012). A case series on lung deposition analysis of inhaled medication using functional imaging based computational fluid dynamics in asthmatic patients: effect of upper airway morphology and comparison with in vivo data. INHALATION TOXICOLOGY, 24(2), 81–88.
Vancouver
1.
Vinchurkar S, De Backer L, Vos W, Van Holsbeke C, De Backer J, De Backer W. A case series on lung deposition analysis of inhaled medication using functional imaging based computational fluid dynamics in asthmatic patients: effect of upper airway morphology and comparison with in vivo data. INHALATION TOXICOLOGY. 2012;24(2):81–8.
MLA
Vinchurkar, Samir, Lieve De Backer, Wim Vos, et al. “A Case Series on Lung Deposition Analysis of Inhaled Medication Using Functional Imaging Based Computational Fluid Dynamics in Asthmatic Patients: Effect of Upper Airway Morphology and Comparison with in Vivo Data.” INHALATION TOXICOLOGY 24.2 (2012): 81–88. Print.