John Fleming1,2,3, Joy Conway1,4, Caroline Majoral3, Ira Katz3,5, Georges Caillibotte3, Marine Pichelin3, Spyridon Montesantos3, Michael Bennett1. 1. 1 National Institute of Health Research Biomedical Research Unit in Respiratory Disease , Southampton, United Kingdom . 2. 2 Department of Medical Physics and Bioengineering, University Hospital Southampton NHS Foundation Trust , Southampton, United Kingdom . 3. 4 Medical R&D, Air Liquide Santé International, Paris-Saclay Research Center , Les Loges-en-Josas, France . 4. 3 Faculty of Health Sciences, University of Southampton , Southampton, United Kingdom . 5. 5 Department of Mechanical Engineering, Lafayette College , Easton, Pennsylvania.
Abstract
BACKGROUND: Computer modeling is used to predict inhaled aerosol deposition in the lung based on definition of the aerosol characteristics and the breathing pattern and airway anatomy of the subject. Validation of the models is limited by the lack of detailed experimental data. Three-dimensional imaging provides an opportunity to address this unmet need. METHODS: Radioactive aerosol was administered to six male asthmatic subjects on two occasions under carefully monitored input conditions. Input parameters varied in particle size, depth of breathing, and carrier gas. The aerosol distribution was measured by combined single photon emission computed tomography and x-ray computer tomography (SPECT/CT) and airway anatomy by high resolution CT. The deposition distribution was measured by both a 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 subdivisions within each lung. The percentage deposition in the conducting airways was also assessed by 24 h clearance. RESULTS: A set of imaging data of aerosol deposition has thus been produced in which the input parameters of inhalation are well described. The results in asthmatics were compared to previous measurements in healthy controls using an identical inhalation protocol. The percentages of deposition in extra-thoracic and thoracic compartments of the airways were not significantly affected by disease, but the regional pulmonary deposition pattern was, with asthma leading to increased deposition in the conducting airways. CONCLUSIONS: The dataset acquired in this study will be useful in validating computer models of aerosol deposition in asthmatic subjects. Asthma did not affect the fraction of inhaled aerosol depositing in the lungs, but gave rise to a more central deposition pattern. The use of 3D SPECT imaging in combination with 24 h clearance measurements enables differentiation of deposition between bronchial and bronchiolar airways.
BACKGROUND: Computer modeling is used to predict inhaled aerosol deposition in the lung based on definition of the aerosol characteristics and the breathing pattern and airway anatomy of the subject. Validation of the models is limited by the lack of detailed experimental data. Three-dimensional imaging provides an opportunity to address this unmet need. METHODS: Radioactive aerosol was administered to six male asthmatic subjects on two occasions under carefully monitored input conditions. Input parameters varied in particle size, depth of breathing, and carrier gas. The aerosol distribution was measured by combined single photon emission computed tomography and x-ray computer tomography (SPECT/CT) and airway anatomy by high resolution CT. The deposition distribution was measured by both a 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 subdivisions within each lung. The percentage deposition in the conducting airways was also assessed by 24 h clearance. RESULTS: A set of imaging data of aerosol deposition has thus been produced in which the input parameters of inhalation are well described. The results in asthmatics were compared to previous measurements in healthy controls using an identical inhalation protocol. The percentages of deposition in extra-thoracic and thoracic compartments of the airways were not significantly affected by disease, but the regional pulmonary deposition pattern was, with asthma leading to increased deposition in the conducting airways. CONCLUSIONS: The dataset acquired in this study will be useful in validating computer models of aerosol deposition in asthmatic subjects. Asthma did not affect the fraction of inhaled aerosol depositing in the lungs, but gave rise to a more central deposition pattern. The use of 3D SPECT imaging in combination with 24 h clearance measurements enables differentiation of deposition between bronchial and bronchiolar airways.
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