ArticleAnnals of biomedical engineering2014
Airflow and particle deposition simulations in health and emphysema: from in vivo to in silico animal experiments.
Article in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 67 citations in OpenAlex.
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- Leveraging Numerical Simulation Technology to Advance Drug Preparation: A Comprehensive Review of Application Scenarios and Cases.Pharmaceutics · 2024Review
- Digital twins for chronic lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Particle transport and deposition correlation with near-wall flow characteristic under inspiratory airflow in lung airways.Computers in biology and medicine · 2020Article
- Innovative preclinical models for pulmonary drug delivery research.Expert opinion on drug delivery · 2020Review
- Patient-specific modeling of aerosol delivery in healthy and asthmatic adults.Journal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- Use of computational fluid dynamics deposition modeling in respiratory drug delivery.Expert opinion on drug delivery · 2019Review
- One (sub-)acinus for all: Fate of inhaled aerosols in heterogeneous pulmonary acinar structures.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2018Review
- SimVascular: An Open Source Pipeline for Cardiovascular Simulation.Annals of biomedical engineering · 2017Review
- Nanoparticle transport and delivery in a heterogeneous pulmonary vasculature.Journal of biomechanics · 2017Article
- Article
- Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.Journal of aerosol medicine and pulmonary drug delivery · 2016Article
- The role of anisotropic expansion for pulmonary acinar aerosol deposition.Journal of biomechanics · 2016Article
- INHALED AEROSOL DOSIMETRY: SOME CURRENT RESEARCH NEEDS.Journal of aerosol science · 2016Article
- Bridging the Gap Between Science and Clinical Efficacy: Physiology, Imaging, and Modeling of Aerosols in the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2016Review
- Small molecule distribution in rat lung: a comparison of various cryoprotectants as inflation media and their applicability to MSI.Journal of molecular histology · 2016Article
- Distribution of aerosolized particles in healthy and emphysematous rat lungs: comparison between experimental and numerical studies.Journal of biomechanics · 2015Article
- Numerical simulation of particle transport and deposition in the pulmonary vasculature.Journal of biomechanical engineering · 2014Article
- MRI-based measurements of aerosol deposition in the lung of healthy and elastase-treated rats.Journal of applied physiology (Bethesda, Md. : 1985) · 2014Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Image-based in silico modeling tools provide detailed velocity and particle deposition data. However, care must be taken when prescribing boundary conditions to model lung physiology in health or disease, such as in emphysema. In this study, the respiratory resistance and compliance were obtained by solving an inverse problem; a 0D global model based on healthy and emphysematous rat experimental data. Multi-scale CFD simulations were performed by solving the 3D Navier-Stokes equations in an MRI-derived rat geometry coupled to a 0D model. Particles with 0.95 μm diameter were tracked and their distribution in the lung was assessed. Seven 3D-0D simulations were performed: healthy, homogeneous, and five heterogeneous emphysema cases. Compliance (C) was significantly higher (p = 0.04) in the emphysematous rats (C = 0.37 ± 0.14 cm(3)/cmH2O) compared to the healthy rats (C = 0.25 ± 0.04 cm(3)/cmH2O), while the resistance remained unchanged (p = 0.83). There were increases in airflow, particle deposition in the 3D model, and particle delivery to the diseased regions for the heterogeneous cases compared to the homogeneous cases. The results highlight the importance of multi-scale numerical simulations to study airflow and particle distribution in healthy and diseased lungs. The effect of particle size and gravity were studied. Once available, these in silico predictions may be compared to experimental deposition data.
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