ReviewAdvanced drug delivery reviews2012
In silico models of aerosol delivery to the respiratory tract - development and applications.
Review in Advanced drug delivery reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.
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
75 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessment of the predictive capability of modelling and simulation to determine bioequivalence of inhaled drugs: A systematic review.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2022Pooled it
- CFD-Enabled Deep Insert Nasal Delivery for Precision Sinus Targeting.Pharmaceutical research · 2026Article
- Transnasal Administration of Surfactant Aerosol to the Lungs of Infants Using Direct Interfaces - Lessons Learned from Computational Fluid Dynamics.Pharmaceutical research · 2026Article
- Artificial Intelligence-Based Optimization of Pulmonary Drug Delivery Performance in Smart Inhaler Drug-Device Combination Systems.Pharmaceutics · 2026Review
- Geometry-conditioned diffusion generation of Lagrangian particle trajectories in human airways.Research square · 2026Article
- RNAseq analysis demonstrates polarization state-dependent responses to ambient particulate matter in a particle composition-specific manner.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- CFD Modeling of Airflow and Aerosol Transport in the Human Respiratory System: A Comprehensive Review.Pharmaceutical research · 2026Review
- In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs.Communications medicine · 2026Article
- Prediction of site-specific drug deposition via dry powder inhaler using non-invasive real-time particle emission signal monitoring system.Frontiers in pharmacology · 2026Article
- Multiscale simulation of respiratory airflow using physiologically consistent geometry and boundary conditions in OpenFOAM.Computers in biology and medicine · 2025Article
- Subject-specific modeling framework for particle deposition using computational fluid dynamics.Journal of aerosol science · 2025Article
- Seasonal PMParticle and fibre toxicology · 2025Article
- Numerical Investigation to Improve Pulmonary Drug Delivery via Dry Powder Inhalers: A Review of In-Silico Modeling.Pharmaceutical research · 2025Review
- Improved aerosol deposition predictions in human upper respiratory tract using coupled mesh phantom-based computational model.Scientific reports · 2025Article
- Article
- Comprehensive Aerodynamic and Physicochemical Stability Evaluations of Nanocrystal-Based Dry Powder Inhalers: The Role of Mannitol and Leucine in Enhancing Performance.Pharmaceutics · 2025Article
- Human Monocyte-Derived Macrophages Demonstrate Distinct Responses to Ambient Particulate Matter in a Polarization State- and Particle Seasonality-Specific Manner.Chemical research in toxicology · 2025Article
- Subject-Specific Multi-Scale Modeling of the Fate of Inhaled Aerosols.Journal of aerosol science · 2025Article
- Non-local impact of distal airway constrictions on patterns of inhaled particle deposition.Royal Society open science · 2024Article
- Computational multiphysics modeling of radioactive aerosol deposition in diverse human respiratory tract geometries.Communications engineering · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This review discusses the application of computational models to simulate the transport and deposition of inhaled pharmaceutical aerosols from the site of particle or droplet formation to deposition within the respiratory tract. Traditional one-dimensional (1-D) whole-lung models are discussed briefly followed by a more in-depth review of three-dimensional (3-D) computational fluid dynamics (CFD) simulations. The review of CFD models is organized into sections covering transport and deposition within the inhaler device, the extrathoracic (oral and nasal) region, conducting airways, and alveolar space. For each section, a general review of significant contributions and advancements in the area of simulating pharmaceutical aerosols is provided followed by a more in-depth application or case study that highlights the challenges, utility, and benefits of in silico models. Specific applications presented include the optimization of an existing spray inhaler, development of charge-targeted delivery, specification of conditions for optimal nasal delivery, analysis of a new condensational delivery approach, and an evaluation of targeted delivery using magnetic aerosols. The review concludes with recommendations on the need for more refined model validations, use of a concurrent experimental and CFD approach for developing aerosol delivery systems, and development of a stochastic individual path (SIP) model of aerosol transport and deposition throughout the respiratory tract.
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What OpenQuestion holds
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.