Purpose: First, to test the hypothesis that air trapping in diseased patients follows a gravitational gradient and is more extensive in dependent than in nondependent lung regions. Second, to test the hypothesis that the dependent lung regions on combined supine and prone expiratory computed tomography (CT) examinations will show more air trapping than would a supine expiratory CT examination alone.
Materials And Methods: For this ethics committee-approved study, supine and prone multidetector-row CT (4×1 mm collimation, 0.5 s rotation time, 140 kVp, and effective 80 mAs) was performed at full end-expiration on 47 lung transplant recipients (mean age 41±12 y; 18 without bronchiolitis, 18 with potential bronchiolitis, and 11 with bronchiolitis). The extent of air trapping was visually quantified in the supine and prone positions, and in dependent and nondependent lung regions. Individual air trapping scores from these regions were thus available and could be combined for later analysis. Differences in the extent of air trapping between the positions and regions were tested with a Wilcoxon signed-rank test.
Results: Air trapping was significantly more extensive in the combined dependent lung regions than in the combined nondependent lung regions (15.00% vs. 5.77%; P<0.001). Air trapping was also significantly more extensive in the combined dependent regions than in the supine body position (15.00% vs. 7.50%; P<0.001). No statistically significant difference in the extent of air trapping was found between the supine and the prone positions (7.50% vs. 12.14%; P=0.735).
Conclusions: In patients with suspected or overt small airways disease, air trapping follows a gravitational gradient. A change from the supine to the prone position can make air trapping visible in formerly nondependent lung regions. The combined readings from supine and prone CT examinations in dependent lung regions show more air trapping than a standard supine CT examination alone.
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http://dx.doi.org/10.1097/RTI.0b013e3181cbc28b | DOI Listing |
Commun Med (Lond)
January 2025
Division of Pulmonary Medicine, Department of Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
Background: Bronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) have not previously been used for BOS detection. This study aims to train a DNN to detect BOS in CT scans using an approach tailored for low-data scenarios.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Statistics, Purdue University, Mathematical Sciences Building, 150 N. University Street, Room 231, West Lafayette, IN 47907.
Background: Methods to elicit the vital capacity (VC) include forced vital capacity (FVC) and slow vital capacity (SVC). Because the FVC maneuver can be affected by air trapping or inefficiencies in lung emptying vs. the SVC, the SVC-FVC difference may be substantial and diagnostically meaningful in elderly individuals and patients with respiratory obstruction.
View Article and Find Full Text PDFLangmuir
January 2025
School of Chemical Engineering, Department of Chemistry and Materials Science, Aalto University, Tietotie 3 Espoo 02150, Finland.
Superhydrophobic surfaces find applications in numerous biomedical scenarios, requiring the repellence of biofluids and biomolecules. Plastron, the trapped air between a superhydrophobic surface and a wetting liquid, plays a pivotal role in biofluid repellency. A key challenge, however, is the often short-lived plastron stability in biofluids and the lack of knowledge surrounding it.
View Article and Find Full Text PDFPediatr Pulmonol
January 2025
Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Langmuir
January 2025
Department of Physics, Chair of Biophysics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestrasse 91, Erlangen 92054, Germany.
The term "aerophilic surface" is used to describe superhydrophobic surfaces in the Cassie-Baxter wetting state that can trap air underwater. To create aerophilic surfaces, it is essential to achieve a synergy between a low surface energy coating and substrate surface roughness. While a variety of techniques have been established to create surface roughness, the development of rapid, scalable, low-cost, waste-free, efficient, and substrate-geometry-independent processes for depositing low surface energy coatings remains a challenge.
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