ArticleScientific reports2016
Quantification of heterogeneity in lung disease with image-based pulmonary function testing.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 71 citations in OpenAlex.
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- High-resolution multimodal imaging reveals spatial and temporal heterogeneity of airway mucus plugging in mice with muco-obstructive lung disease.Scientific reports · 2025Article
- Murine Functional Lung Imaging Using X-Ray Velocimetry for Longitudinal Noninvasive Quantitative Spatial Assessment of Pulmonary Airflow.Tomography (Ann Arbor, Mich.) · 2025Article
- Functional Lung Imaging Identifies Peripheral Ventilation Changes in ꞵ-ENaC Mice.Respirology (Carlton, Vic.) · 2025Article
- Using X-ray velocimetry to measure lung function and assess the efficacy of a pseudomonas aeruginosa bacteriophage therapy for cystic fibrosis.Scientific reports · 2024Article
- Current understanding of the impact of United States military airborne hazards and burn pit exposures on respiratory health.Particle and fibre toxicology · 2024Review
- Assessment of respiratory mechanics and X-ray velocimetry functional imaging in two cystic fibrosis rat models.Scientific reports · 2024Article
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- 3D imaging of SARS-CoV-2 infected hamster lungs by X-ray phase contrast tomography enables drug testing.Scientific reports · 2024Article
- Multiphase micro-computed tomography reconstructions provide dynamic respiratory function in a mouse lung fibrosis model.iScience · 2024Article
- Quantifying heterogeneity in an animal model of acute respiratory distress syndrome, a comparison of inspired sinewave technique to computed tomography.Scientific reports · 2024Article
- Article
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- A novel thiol-saccharide mucolytic for the treatment of muco-obstructive lung diseases.The European respiratory journal · 2023Article
- Functional imaging for assessing regional lung ventilation in preclinical and clinical research.Frontiers in medicine · 2023Review
- Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry.Frontiers in medical technology · 2023Article
- Genetic Deletion ofInternational journal of molecular sciences · 2022Article
- Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry.Respirology (Carlton, Vic.) · 2022Review
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computed tomography (CT) and spirometry are the mainstays of clinical pulmonary assessment. Spirometry is effort dependent and only provides a single global measure that is insensitive for regional disease, and as such, poor for capturing the early onset of lung disease, especially patchy disease such as cystic fibrosis lung disease. CT sensitively measures change in structure associated with advanced lung disease. However, obstructions in the peripheral airways and early onset of lung stiffening are often difficult to detect. Furthermore, CT imaging poses a radiation risk, particularly for young children, and dose reduction tends to result in reduced resolution. Here, we apply a series of lung tissue motion analyses, to achieve regional pulmonary function assessment in β-ENaC-overexpressing mice, a well-established model of lung disease. The expiratory time constants of regional airflows in the segmented airway tree were quantified as a measure of regional lung function. Our results showed marked heterogeneous lung function in β-ENaC-Tg mice compared to wild-type littermate controls; identified locations of airway obstruction, and quantified regions of bimodal airway resistance demonstrating lung compensation. These results demonstrate the applicability of regional lung function derived from lung motion as an effective alternative respiratory diagnostic tool.
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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.