ArticleJournal of aerosol science2016
Effect of static vs. dynamic imaging on particle transport in CT-based numerical models of human central airways.
Article in Journal of aerosol science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach.International journal of environmental research and public health · 2022Article
- The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow.Computers in biology and medicine · 2020Article
- A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition.International journal of environmental research and public health · 2020Review
- AVATREE: An open-source computational modelling framework modelling Anatomically Valid Airway TREE conformations.PloS one · 2020Article
- MultiscaleCurrent opinion in biomedical engineering · 2019Article
- Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters.Journal of aerosol medicine and pulmonary drug delivery · 2019Article
- Quantitative Assessment of Regional Dynamic Airway Collapse in Neonates via Retrospectively Respiratory-GatedJournal of magnetic resonance imaging : JMRI · 2019Article
- Ideal Particle Sizes for Inhaled Steroids Targeting Vocal Granulomas: Preliminary Study Using Computational Fluid Dynamics.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2018Article
- Morphological and functional properties of the conducting human airways investigated by in vivo computed tomography and in vitro MRI.Journal of applied physiology (Bethesda, Md. : 1985) · 2018Article
- A four-dimensional computed tomography comparison of healthy and asthmatic human lungs.Journal of biomechanics · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
Advances in quantitative computed tomography (CT) has provided methods to assess the detailed structure of the pulmonary airways and parenchyma, providing the means of applying computational fluid dynamics-based modeling to better understand subject-specific differences in structure-to-function relationships. Most of the previous numerical studies, seeking to predict patterns of inhaled particle deposition, have considered airway geometry and regional ventilation derived from static images. Because geometric alterations of the airway and parenchyma associated with regional ventilation may greatly affect particle transport, we have sought to investigate the effect of rigid vs. deforming airways, linear vs. nonlinear airway deformations, and step-wise static vs. dynamic imaging on particle deposition with varying numbers of intermediate lung volume increments. Airway geometry and regional ventilation at different time points were defined by four-dimensional (space and time) dynamic or static CT images. Laminar, transitional, and turbulent air flows were reproduced with a three-dimensional eddy-resolving computational fluid dynamics model. Finally, trajectories of particles were computed with the Lagrangian tracking algorithm. The results demonstrated that static-imaging-based models can contribute 7% uncertainty to overall particle distribution and deposition primarily due to regional flow rate (ventilation) differences as opposed to geometric alterations. The effect of rigid vs. deforming airways on serial distribution of particles over generations was significantly smaller than reported in a previous study that used the symmetric Weibel geometric model with smaller flow rate. Rigid vs. deforming airways were also shown to affect parallel particle distribution over lobes by 8% and the differences associated with use of static vs. dynamic imaging was 18%. These differences demonstrate that estimates derived from static vs. dynamic imaging can significantly affect the assessment of particle distribution heterogeneity. The effect of linear vs. nonlinear airway deformations was within the uncertainty due to mesh size.
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Registered trials
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