ArticlePharmaceutical research2015
Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.
Article in Pharmaceutical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 108 citations in OpenAlex.
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- Using Lung Regional Deposition Modeling as Model-Integrated Evidence for Locally Acting Orally Inhaled Drug Products.Pharmaceutical research · 2025Review
- Numerical Investigation to Improve Pulmonary Drug Delivery via Dry Powder Inhalers: A Review of In-Silico Modeling.Pharmaceutical research · 2025Review
- Experimental Full-volume Airway Approximation for Assessing Breath-dependent Regional Aerosol Deposition.Device · 2024Article
- A quasi-realistic computational model development and flow field study of the human upper and central airways.Medical & biological engineering & computing · 2024Article
- Validation of computational fluid dynamics models for airway deposition with SPECT data of the same population.Scientific reports · 2024Article
- Use of the Same Model or Modeling Strategy Across Multiple Submissions: Focus on Complex Drug Products.The AAPS journal · 2024Review
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- Development of an effective two-equation turbulence modeling approach for simulating aerosol deposition across a range of turbulence levels.Journal of aerosol science · 2024Article
- Mechanistic modeling of generic orally inhaled drug products: A workshop summary report.CPT: pharmacometrics & systems pharmacology · 2023Review
- Advancements in the Design and Development of Dry Powder Inhalers and Potential Implications for Generic Development.Pharmaceutics · 2022Review
- A computed tomography imaging-based subject-specific whole-lung deposition model.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2022Article
- Characterizing the Effects of Nasal Prong Interfaces on Aerosol Deposition in a Preterm Infant Nasal Model.AAPS PharmSciTech · 2022Article
- Effect of MDI Actuation Timing on Inhalation Dosimetry in a Human Respiratory Tract Model.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Evaluation of the Polyhedral Mesh Style for Predicting Aerosol Deposition in Representative Models of the Conducting Airways.Journal of aerosol science · 2022Article
- Reconciling Oxygen and Aerosol Delivery with a Hood on In Vitro Infant and Paediatric Models.Pharmaceutics · 2021Article
- Development of a rat capnoperitoneum phantom to study drug aerosol deposition in the context of anticancer research on peritoneal carcinomatosis.Scientific reports · 2021Article
- Salbutamol Transport and Deposition in the Upper and Lower Airway with Different Devices in Cats: A Computational Fluid Dynamics Approach.Animals : an open access journal from MDPI · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purposeCFD provides a powerful approach to evaluate the deposition of pharmaceutical aerosols; however, previous studies have not compared CFD results of deposition throughout the lungs with in vivo data.
methodsThe in vivo datasets selected for comparison with CFD predictions included fast and slow clearance of monodisperse aerosols as well as 2D gamma scintigraphy measurements for a dry powder inhaler (DPI) and softmist inhaler (SMI). The CFD model included the inhaler, a characteristic model of the mouth-throat (MT) and upper tracheobronchial (TB) airways, stochastic individual pathways (SIPs) representing the remaining TB region, and recent CFD-based correlations to predict pharmaceutical aerosol deposition in the alveolar airways.
resultsFor the monodisperse aerosol, CFD predictions of total lung deposition agreed with in vivo data providing a percent relative error of 6% averaged across aerosol sizes of 1-7 μm. With the DPI and SMI, deposition was evaluated in the MT, central airways (bifurcations B1-B7), and intermediate plus peripheral airways (B8 through alveoli). Across these regions, CFD predictions produced an average relative error <10% for each inhaler.
conclusionsCFD simulations with the SIP modeling approach were shown to accurately predict regional deposition throughout the lungs for multiple aerosol types and different in vivo assessment methods.
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