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

Conway, Joy; Fleming, John; Majoral, Caroline; Katz, Ira; Perchet, Diane; Peebles, Charles; Tossici-Bolt, Livia; Collier, Lesley; Caillibotte, Georges; Pichelin, Marine; Sauret-Jackson, Veronique; Martonen, T. B.; Apiou-Sbirlea, Gabriela; Muellinger, Bernhard; Kroneberg, Philipp; Gleske, Juliane; Scheuch, G.; Texereau, J.; Martin, Andrew; Montesantos, Spyridon; Bennett, Michael J.

doi:10.1016/j.jaerosci.2012.04.006

Cited by 51 publications

(50 citation statements)

References 32 publications

(30 reference statements)

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“…However, the time for exhalation and breath hold were not controlled, as breaths were triggered by the subject; thus minute ventilation of 9 L/min is only an estimate. Measurements of breath hold and exhalation timing was done with an Embletta sleep diagnostic kit (Emblas, Denver,CO), and are included in the study database 2,7 .…”

Section: Journal Of Aerosol Medicine and Pulmonary Drug Deliverymentioning

confidence: 99%

Controlled, Parametric, Individualized, 2D and 3D Imaging Measurements of Aerosol Deposition in the Respiratory Tract of Healthy Human Volunteers:In VivoData Analysis

Majoral

Fleming²,

Conway³

et al. 2014

Journal of Aerosol Medicine and Pulmonary Drug Delivery

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Section: Journal Of Aerosol Medicine and Pulmonary Drug Deliverymentioning

confidence: 99%

Controlled, Parametric, Individualized, 2D and 3D Imaging Measurements of Aerosol Deposition in the Respiratory Tract of Healthy Human Volunteers:In VivoData Analysis

Majoral

Fleming²,

Conway³

et al. 2014

Journal of Aerosol Medicine and Pulmonary Drug Delivery

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“…(22,(25)(26)(27)(28)(29) Additional correlations can be included in 1D whole lung models to capture the effect of jet or spray momentum on deposition when dealing with pharmaceutical inhalers. (30) Katz et al (31) recently applied a whole-airway 1D model (25) to predict the deposition of nebulized droplets delivered through a relatively wide diameter mouthpiece and compared regional deposition results with the in vivo gamma scintigraphy study of Conway et al (32) Limitations of the model's predictive capabilities for this pharmaceutical aerosol were identified in the mouth-throat and tracheobronchial regions. Similarly, previous applications of 1D models to capture in vivo deposition of nebulized polydisperse aerosols have revealed limitations in predictions of alveolar deposition and exhaled mass fraction.…”

Section: Introductionmentioning

confidence: 99%

“…(32) Comparisons with 3D data will eliminate projection differences and will provide a more refined segmentation of the lungs. However, the accuracy of model predictions will be influenced by the degree to which a shell (33,100) or similar 3D lung geometry mapping can capture bifurcating airway anatomy.…”

mentioning

confidence: 99%

“…However, the accuracy of model predictions will be influenced by the degree to which a shell (33,100) or similar 3D lung geometry mapping can capture bifurcating airway anatomy. The recent study by Conway et al (32) provides an excellent 3D data set for future model validations that carefully reports particle size and breathing conditions for a nebulized aerosol. It is noted that Conway et al (32) found segmenting the lung using a 2D or 3D approach produced large differences in predicted peripheral to central lung deposition ratios.…”

mentioning

confidence: 99%

“…The recent study by Conway et al (32) provides an excellent 3D data set for future model validations that carefully reports particle size and breathing conditions for a nebulized aerosol. It is noted that Conway et al (32) found segmenting the lung using a 2D or 3D approach produced large differences in predicted peripheral to central lung deposition ratios.…”

mentioning

confidence: 99%

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Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Longest

Tian

Khajeh-Hosseini-Dalasm

et al. 2016

Journal of Aerosol Medicine and Pulmonary Drug Delivery

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Background: The objective of this study was to compare aerosol deposition predictions of a new whole-airway CFD model with available in vivo data for a dry powder inhaler (DPI) considered across multiple inhalation waveforms, which affect both the particle size distribution (PSD) and particle deposition. Methods: The Novolizer DPI with a budesonide formulation was selected based on the availability of 2D gamma scintigraphy data in humans for three different well-defined inhalation waveforms. Initial in vitro cascade impaction experiments were conducted at multiple constant (square-wave) particle sizing flow rates to characterize PSDs. The whole-airway CFD modeling approach implemented the experimentally determined PSDs at the point of aerosol formation in the inhaler. Complete characteristic airway geometries for an adult were evaluated through the lobar bronchi, followed by stochastic individual pathway (SIP) approximations through the tracheobronchial region and new acinar moving wall models of the alveolar region. Results: It was determined that the PSD used for each inhalation waveform should be based on a constant particle sizing flow rate equal to the average of the inhalation waveform's peak inspiratory flow rate (PIFR) and mean flow rate [i.e., AVG(PIFR, Mean)]. Using this technique, agreement with the in vivo data was acceptable with <15% relative differences averaged across the three regions considered for all inhalation waveforms. Defining a peripheral to central deposition ratio (P/C) based on alveolar and tracheobronchial compartments, respectively, large flow-rate-dependent differences were observed, which were not evident in the original 2D in vivo data. Conclusions: The agreement between the CFD predictions and in vivo data was dependent on accurate initial estimates of the PSD, emphasizing the need for a combination in vitro-in silico approach. Furthermore, use of the AVG(PIFR, Mean) value was identified as a potentially useful method for characterizing a DPI aerosol at a constant flow rate.

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Airway Morphology From High Resolution Computed Tomography in Healthy Subjects and Patients With Moderate Persistent Asthma

Montesantos

Katz

Fleming

et al. 2013

The Anatomical Record

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Models of the human respiratory tract developed in the past were based on measurements made on human tracheobronchial airways of healthy subjects. With the exception of a few morphometric characteristics such as the bronchial wall thickness (WT), very little has been published concerning the effects of disease on the tree structure and geometrical features. In this study, a commercial software package was used to segment the airway tree of seven healthy and six moderately persistent asthmatic patients from high resolution computed tomography images. The process was assessed with regards to the treatment of the images of the asthmatic group. The in vivo results for the bronchial length, diameter, WT, branching, and rotation angles are reported and compared per generation for different lobes. Furthermore, some popular mathematical relationships between these morphometric characteristics were examined in order to verify their validity for both groups. Our results suggest that, even though some relationships agree very well with previously published data, the compartmentalization of airways into lobes and the presence of disease may significantly affect the tree geometry, while the tree structure and airway connectivity is only slightly affected by the disease. Anat Rec, 296:852–866, 2013. © 2013 Wiley Periodicals, Inc.

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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

Cited by 51 publications

References 32 publications

Controlled, Parametric, Individualized, 2D and 3D Imaging Measurements of Aerosol Deposition in the Respiratory Tract of Healthy Human Volunteers:In VivoData Analysis

Controlled, Parametric, Individualized, 2D and 3D Imaging Measurements of Aerosol Deposition in the Respiratory Tract of Healthy Human Volunteers:In VivoData Analysis

Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates

Airway Morphology From High Resolution Computed Tomography in Healthy Subjects and Patients With Moderate Persistent Asthma

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