ReviewExpert opinion on drug delivery2019
Use of computational fluid dynamics deposition modeling in respiratory drug delivery.
Review in Expert opinion on drug delivery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed.
- Transnasal Administration of Surfactant Aerosol to the Lungs of Infants Using Direct Interfaces - Lessons Learned from Computational Fluid Dynamics.Pharmaceutical research · 2026Article
- Geometry-conditioned diffusion generation of Lagrangian particle trajectories in human airways.Research square · 2026Article
- Effects of Airway Generation Depth on Particle Deposition Behaviour in the Main Respiratory Airways-A Computational Modelling Study.Pharmaceutical research · 2026Article
- Electrosprayed PLGA Nanoparticles for Dual Drug Delivery: Design, Optimization and Applications.Polymers · 2026Review
- Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026Review
- Advancing Tuberculosis Treatment with Next-Generation Drugs and Smart Delivery Systems.Pharmaceutics · 2026Review
- Simulation of drug transport in airway surface liquid considering mucus flow and ciliary interaction.Scientific reports · 2025Article
- Numerical Investigation to Improve Pulmonary Drug Delivery via Dry Powder Inhalers: A Review of In-Silico Modeling.Pharmaceutical research · 2025Review
- Nanoparticle-Based Pulmonary Immune Engineering.Annual review of chemical and biomolecular engineering · 2025Review
- Development of CPAP Overlay Interfaces for Efficient Administration of Aerosol Surfactant Therapy to Preterm Infants.AAPS PharmSciTech · 2025Article
- Subject-Specific Multi-Scale Modeling of the Fate of Inhaled Aerosols.Journal of aerosol science · 2025Article
- Small Airways Disease Affects Aerosol Deposition in Children with Severe Asthma: A Functional Respiratory Imaging Study.Journal of aerosol medicine and pulmonary drug delivery · 2024Article
- Leveraging Numerical Simulation Technology to Advance Drug Preparation: A Comprehensive Review of Application Scenarios and Cases.Pharmaceutics · 2024Review
- Modeling Realistic Geometries in Human Intrathoracic Airways.Diagnostics (Basel, Switzerland) · 2024Review
- Recent Developments in Aerosol Pulmonary Drug Delivery: New Technologies, New Cargos, and New Targets.Annual review of biomedical engineering · 2024Review
- Development of an effective two-equation turbulence modeling approach for simulating aerosol deposition across a range of turbulence levels.Journal of aerosol science · 2024Article
- Aerosol pulmonary immune engineering.Advanced drug delivery reviews · 2023Review
- Asymmetric lung increases particle filtration by deposition.Scientific reports · 2023Article
- Mechanistic modeling of generic orally inhaled drug products: A workshop summary report.CPT: pharmacometrics & systems pharmacology · 2023Review
- An evolving perspective on novel modified release drug delivery systems for inhalational therapy.Expert opinion on drug delivery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
introductionRespiratory drug delivery is a surprisingly complex process with a number of physical and biological challenges. Computational fluid dynamics (CFD) is a scientific simulation technique that is capable of providing spatially and temporally resolved predictions of many aspects related to respiratory drug delivery from initial aerosol formation through respiratory cellular drug absorption. AREAS COVERED: This review article focuses on CFD-based deposition modeling applied to pharmaceutical aerosols. Areas covered include the development of new complete-airway CFD deposition models and the application of these models to develop a next-generation of respiratory drug delivery strategies. EXPERT OPINION: Complete-airway deposition modeling is a valuable research tool that can improve our understanding of pharmaceutical aerosol delivery and is already supporting medical hypotheses, such as the expected under-treatment of the small airways in asthma. These complete-airway models are also being used to advance next-generation aerosol delivery strategies, like controlled condensational growth. We envision future applications of CFD deposition modeling to reduce the need for human subject testing in developing new devices and formulations, to help establish bioequivalence for the accelerated approval of generic inhalers, and to provide valuable new insights related to drug dissolution and clearance leading to microdosimetry maps of drug absorption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.