ReviewJournal of the Royal Society, Interface2022
Computational lung modelling in respiratory medicine.
Review in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed, 72 citations in OpenAlex.
- Direct Numerical Simulations of Inhalation in a 23-Generation Lung Model.International journal for numerical methods in biomedical engineering · 2026Article
- Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography.Intensive care medicine experimental · 2026Review
- Group-Aware Registration for Lesion-Level Quantitative Motion Correction in Respiratory-Gated PET/CT Biomedical Imaging.Sensors (Basel, Switzerland) · 2026Article
- A multi-fidelity poroelastic finite element and machine learning framework for characterizing respiratory mechanics in porcine lungs.Biomechanics and modeling in mechanobiology · 2026Article
- Modeling ventilation heterogeneity in lung fibrosis.Medical & biological engineering & computing · 2026Article
- Next-Generation In Vitro Pulmonary Platforms for Respiratory Disease Modelling and Therapeutic Development: Current Advances and Future Prospects.Medicina (Kaunas, Lithuania) · 2026Review
- Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026Review
- Standardized lung function reference values in rats for translational respiratory research.Communications biology · 2026Article
- Idiopathic pulmonary fibrosis from a multiscale mechanobiology perspective: Mechanisms and future therapeutic prospects.iScience · 2026Review
- A single compartment model to describe lung functionality: A comprehensive study.Physiological reports · 2026Review
- Percolation Forces in Lung Inflammation: Determining the Path to Emphysema or Fibrosis.Biomedicines · 2026Review
- Artificial intelligence-assisted multiscale lung modeling to predict alveolar septal wall stress.Acta biomaterialia · 2026Article
- A Monte Carlo-Based 3D Whole Lung Model for Aerosol Deposition Studies: Implementation and Validation.Bioengineering (Basel, Switzerland) · 2025Article
- Predictions of Atelectasis-Induced Microvolutrauma: A Key Pathway to Ventilator-Induced Lung Injury.Journal of biomechanical engineering · 2025Article
- Simulation of Central Airway Gas Flow Dynamics During Conventional and Multifrequency Ventilation.Journal of biomechanical engineering · 2025Article
- Physics-Informed In-Silico Dynamic Computed Tomography of Human Lungs: Generation, Evaluation, and Refinement.Journal of biomechanical engineering · 2025Article
- Pulmonary Biomechanics in COPD: Imaging Techniques and Clinical Applications.Journal of biomechanical engineering · 2025Review
- Observational
- A ventilated perfused lung model platform to dissect the response of the lungs to viral infection.Trends in biotechnology · 2025Article
- A multidisciplinary approach towards modeling of a virtual human lung.NPJ systems biology and applications · 2025Review
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 at 5 institutions in 1 country.
Funding
Abstract
Computational modelling of the lungs is an active field of study that integrates computational advances with lung biophysics, biomechanics, physiology and medical imaging to promote individualized diagnosis, prognosis and therapy evaluation in lung diseases. The complex and hierarchical architecture of the lung offers a rich, but also challenging, research area demanding a cross-scale understanding of lung mechanics and advanced computational tools to effectively model lung biomechanics in both health and disease. Various approaches have been proposed to study different aspects of respiration, ranging from compartmental to discrete micromechanical and continuum representations of the lungs. This article reviews several developments in computational lung modelling and how they are integrated with preclinical and clinical data. We begin with a description of lung anatomy and how different tissue components across multiple length scales affect lung mechanics at the organ level. We then review common physiological and imaging data acquisition methods used to inform modelling efforts. Building on these reviews, we next present a selection of model-based paradigms that integrate data acquisitions with modelling to understand, simulate and predict lung dynamics in health and disease. Finally, we highlight possible future directions where computational modelling can improve our understanding of the structure-function relationship in the lung.
Indexed as
Identifiers
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.