ArticleMedical & biological engineering & computing2016
Sound transmission in porcine thorax through airway insonification.
Article in Medical & biological engineering & computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- A multi-fidelity poroelastic finite element and machine learning framework for characterizing respiratory mechanics in porcine lungs.Biomechanics and modeling in mechanobiology · 2026Article
- Hemopneumothorax detection through the process of artificial evolution - a feasibility study.Military Medical Research · 2021Article
- Sound transmission in human thorax through airway insonification: an experimental and computational study with diagnostic applications.Medical & biological engineering & computing · 2020Article
- Article
- Acoustic Methods for Pulmonary Diagnosis.IEEE reviews in biomedical engineering · 2019Review
- Modeling Inspiratory Flow in a Porcine Lung Airway.Journal of biomechanical engineering · 2018Article
- A multiscale analytical model of bronchial airway acoustics.The Journal of the Acoustical Society of America · 2017Article
- Geometric features of pig airways using computed tomography.Physiological reports · 2016Article
- Generation of Pig Airways using Rules Developed from the Measurements of Physical Airways.Journal of bioengineering & biomedical science · 2016Article
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
Many pulmonary injuries and pathologies may lead to structural and functional changes in the lungs resulting in measurable sound transmission changes on the chest surface. Additionally, noninvasive imaging of externally driven mechanical wave motion in the chest (e.g., using magnetic resonance elastography) can provide information about lung structural property changes and, hence, may be of diagnostic value. In the present study, a comprehensive computational simulation (in silico) model was developed to simulate sound wave propagation in the airways, lung, and chest wall under normal and pneumothorax conditions. Experiments were carried out to validate the model. Here, sound waves with frequency content from 50 to 700 Hz were introduced into airways of five porcine subjects via an endotracheal tube, and transmitted waves were measured by scanning laser Doppler vibrometry at the chest wall surface. The computational model predictions of decreased sound transmission with pneumothorax were consistent with experimental measurements. The in silico model can also be used to visualize wave propagation inside and on the chest wall surface for other pulmonary pathologies, which may help in developing and interpreting diagnostic procedures that utilize sound and vibration.
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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.