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Controlled, parametric, individualized, 2-D and 3-D imaging measurements of aerosol deposition in the respiratory tract of healthy human subjects for model validation

Controlled, parametric, individualized, 2-D and 3-D imaging measurements of aerosol deposition in the respiratory tract of healthy human subjects for model validation
Controlled, parametric, individualized, 2-D and 3-D imaging measurements of aerosol deposition in the respiratory tract of healthy human subjects for model validation
Computer modeling is used widely to predict inhaled aerosol deposition in the human lung based on definition of the input conditions describing the aerosol characteristics, the breathing pattern and the airway anatomy of the subject. Validation of the models is limited by the lack of detailed experimental data. Three dimensional imaging data provides an opportunity to address this unmet need. Radioactive aerosol was administered to each of 11 healthy male subjects on two occasions under carefully monitored input conditions. Input parameters varied were particle size, depth of breathing, carrier gas and posture. The aerosol distribution was measured by combined single photon emission computed tomography and X-ray computer tomography (SPECT/CT). Airway anatomy was determined by high resolution CT imaging. The distribution of deposition was determined by a combination of 2D and 3D analysis and described in terms of the percentage of inhaled aerosol deposited in sections of the respiratory tract and in both spatial and anatomical sub-divisions within each lung. The percentage deposition in the conducting airways was also assessed by 24 h clearance. A set of imaging data of aerosol deposition has been produced in which the input parameters of inhalation are well described. The parameters were varied in a controlled manner to allow the sensitivity of predictive models to different factors to be tested. An initial analysis of the data is presented which will act as a guide that other centers can use to compare their own methodology. This data is considered to be of great potential value to computer modelers of aerosol deposition in validating their models.
aerosol deposition, experimental measurements, imaging, helium–oxygen
0021-8502
432-51
Conway, Joy H.
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Fleming, John S.
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Marjoral, Caroline
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Katz, Ira
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Perchet, Diane
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Peebles, Charles
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Tossici-Bolt, Livia
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Collier, Lesley
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Caillibotte, Georges
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Pichelin, Marine
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Sauret-Jackson, Veronique
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Martonen, Ted
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Apiou-Sbirlea, Gabriela
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Muellinger, Bernhard
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Kroneberg, Philipp
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Gleske, Juliane
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Scheuch, Gerhard
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Texereau, Joelle
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Martin, Andrew
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Montesantos, Spyridon
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Bennett, Michael
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Conway, Joy H.
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Fleming, John S.
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Marjoral, Caroline
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Katz, Ira
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Perchet, Diane
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Peebles, Charles
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Tossici-Bolt, Livia
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Collier, Lesley
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Caillibotte, Georges
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Pichelin, Marine
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Sauret-Jackson, Veronique
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Martonen, Ted
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Apiou-Sbirlea, Gabriela
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Muellinger, Bernhard
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Kroneberg, Philipp
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Gleske, Juliane
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Scheuch, Gerhard
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Texereau, Joelle
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Martin, Andrew
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Montesantos, Spyridon
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Bennett, Michael
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Conway, Joy H., Fleming, John S., Marjoral, Caroline, Katz, Ira, Perchet, Diane, Peebles, Charles, Tossici-Bolt, Livia, Collier, Lesley, Caillibotte, Georges, Pichelin, Marine, Sauret-Jackson, Veronique, Martonen, Ted, Apiou-Sbirlea, Gabriela, Muellinger, Bernhard, Kroneberg, Philipp, Gleske, Juliane, Scheuch, Gerhard, Texereau, Joelle, Martin, Andrew, Montesantos, Spyridon and Bennett, Michael (2012) Controlled, parametric, individualized, 2-D and 3-D imaging measurements of aerosol deposition in the respiratory tract of healthy human subjects for model validation. Journal of Aerosol Science, 52, 432-51. (doi:10.1016/j.jaerosci.2012.04.006).

Record type: Article

Abstract

Computer modeling is used widely to predict inhaled aerosol deposition in the human lung based on definition of the input conditions describing the aerosol characteristics, the breathing pattern and the airway anatomy of the subject. Validation of the models is limited by the lack of detailed experimental data. Three dimensional imaging data provides an opportunity to address this unmet need. Radioactive aerosol was administered to each of 11 healthy male subjects on two occasions under carefully monitored input conditions. Input parameters varied were particle size, depth of breathing, carrier gas and posture. The aerosol distribution was measured by combined single photon emission computed tomography and X-ray computer tomography (SPECT/CT). Airway anatomy was determined by high resolution CT imaging. The distribution of deposition was determined by a combination of 2D and 3D analysis and described in terms of the percentage of inhaled aerosol deposited in sections of the respiratory tract and in both spatial and anatomical sub-divisions within each lung. The percentage deposition in the conducting airways was also assessed by 24 h clearance. A set of imaging data of aerosol deposition has been produced in which the input parameters of inhalation are well described. The parameters were varied in a controlled manner to allow the sensitivity of predictive models to different factors to be tested. An initial analysis of the data is presented which will act as a guide that other centers can use to compare their own methodology. This data is considered to be of great potential value to computer modelers of aerosol deposition in validating their models.

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Accepted/In Press date: 6 April 2012
e-pub ahead of print date: 14 April 2012
Published date: October 2012
Keywords: aerosol deposition, experimental measurements, imaging, helium–oxygen
Organisations: Faculty of Medicine, Faculty of Health Sciences

Identifiers

Local EPrints ID: 341060
URI: http://eprints.soton.ac.uk/id/eprint/341060
ISSN: 0021-8502
PURE UUID: dd891ac1-83d3-4e87-a0dd-84e13eea7e05
ORCID for Joy H. Conway: ORCID iD orcid.org/0000-0001-6464-1526
ORCID for Lesley Collier: ORCID iD orcid.org/0000-0002-3788-3420

Catalogue record

Date deposited: 13 Jul 2012 07:53
Last modified: 11 Nov 2019 21:01

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Contributors

Author: Joy H. Conway ORCID iD
Author: John S. Fleming
Author: Caroline Marjoral
Author: Ira Katz
Author: Diane Perchet
Author: Charles Peebles
Author: Livia Tossici-Bolt
Author: Lesley Collier ORCID iD
Author: Georges Caillibotte
Author: Marine Pichelin
Author: Veronique Sauret-Jackson
Author: Ted Martonen
Author: Gabriela Apiou-Sbirlea
Author: Bernhard Muellinger
Author: Philipp Kroneberg
Author: Juliane Gleske
Author: Gerhard Scheuch
Author: Joelle Texereau
Author: Andrew Martin
Author: Spyridon Montesantos
Author: Michael Bennett

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