ReviewNMR in biomedicine2014
Advances in functional and structural imaging of the human lung using proton MRI.
Review in NMR in biomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Exercise-Induced Alterations in Lung Water Density in Heart Failure Using Single-Breath-Hold 3D Ultrashort Echo Time MRI.Journal of magnetic resonance imaging : JMRI · 2026Article
- Establishing a 4D-CT lung function related volumetric dose model to reduce radiation pneumonia.Scientific reports · 2024Article
- Deep Learning Approaches for Quantifying Ventilation Defects in Hyperpolarized Gas Magnetic Resonance Imaging of the Lung: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- From Pixels to Pathology: Employing Computer Vision to Decode Chest Diseases in Medical Images.Cureus · 2023Review
- Early Diagnosis and Real-Time Monitoring of Regional Lung Function Changes to Prevent Chronic Obstructive Pulmonary Disease Progression to Severe Emphysema.Journal of clinical medicine · 2021Review
- Pulmonary magnetic resonance imaging in systemic sclerosis: a jump in the future to unravel inflammation in interstitial lung disease.Clinical rheumatology · 2021Article
- Novel Thoracic MRI Approaches for the Assessment of Pulmonary Physiology and Inflammation.Advances in experimental medicine and biology · 2021Article
- Current state of the art MRI for the longitudinal assessment of cystic fibrosis.Journal of magnetic resonance imaging : JMRI · 2020Review
- A review of the role of MRI in diagnosis and treatment of early stage lung cancer.Clinical and translational radiation oncology · 2020Review
- Dynamic perfluorinated gas MRI reveals abnormal ventilation despite normal FEV1 in cystic fibrosis.JCI insight · 2020Article
- Quantification of Ventilation and Gas Uptake in Free-Breathing Mice With HyperpolarizedIEEE transactions on medical imaging · 2019Article
- Approaches to Evaluate Lung Inflammation in Translational Research.Veterinary pathology · 2018Review
- Fibrosis imaging: Current concepts and future directions.Advanced drug delivery reviews · 2017Review
- Lung magnetic resonance imaging for pneumonia in children.Pediatric radiology · 2017Review
- Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.Journal of the American Medical Informatics Association : JAMIA · 2017Review
- Preliminary comparison of normalized T1 and non-contrast perfusion MRI assessments of regional lung disease in cystic fibrosis patients.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2017Article
- Imaging Bronchopulmonary Dysplasia-A Multimodality Update.Frontiers in medicine · 2017Review
- Functional imaging of the lungs with gas agents.Journal of magnetic resonance imaging : JMRI · 2016Review
- Magnetic resonance imaging in lung: a review of its potential for radiotherapy.The British journal of radiology · 2016Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The field of proton lung MRI is advancing on a variety of fronts. In the realm of functional imaging, it is now possible to use arterial spin labeling (ASL) and oxygen-enhanced imaging techniques to quantify regional perfusion and ventilation, respectively, in standard units of measurement. By combining these techniques into a single scan, it is also possible to quantify the local ventilation-perfusion ratio, which is the most important determinant of gas-exchange efficiency in the lung. To demonstrate potential for accurate and meaningful measurements of lung function, this technique was used to study gravitational gradients of ventilation, perfusion, and ventilation-perfusion ratio in healthy subjects, yielding quantitative results consistent with expected regional variations. Such techniques can also be applied in the time domain, providing new tools for studying temporal dynamics of lung function. Temporal ASL measurements showed increased spatial-temporal heterogeneity of pulmonary blood flow in healthy subjects exposed to hypoxia, suggesting sensitivity to active control mechanisms such as hypoxic pulmonary vasoconstriction, and illustrating that to fully examine the factors that govern lung function it is necessary to consider temporal as well as spatial variability. Further development to increase spatial coverage and improve robustness would enhance the clinical applicability of these new functional imaging tools. In the realm of structural imaging, pulse sequence techniques such as ultrashort echo-time radial k-space acquisition, ultrafast steady-state free precession, and imaging-based diaphragm triggering can be combined to overcome the significant challenges associated with proton MRI in the lung, enabling high-quality three-dimensional imaging of the whole lung in a clinically reasonable scan time. Images of healthy and cystic fibrosis subjects using these techniques demonstrate substantial promise for non-contrast pulmonary angiography and detailed depiction of airway disease. Although there is opportunity for further optimization, such approaches to structural lung imaging are ready for clinical testing.
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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.