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Background: Effective management of pulmonary edema in the emergency department (ED) is crucial given its significant global impact on health. This study aimed to investigate the hypothesis: "Does the utilization of Automatic B-lines via ultrasonography in patients with pulmonary edema facilitate faster diuretic administration in a developing country?"
Methods: This retrospective observational study was conducted at a tertiary academic center in Thailand. Patients with pulmonary edema admitted to the ED between January 2023 and June 2024 were enrolled. Ultrasound documentation and electronic ED medical records were compared to assess the time of diuretic administration between patients who had lung ultrasounds utilizing automatic B-lines and those who had manual B-lines counted by physician eye inspection. Multivariate logistic regression was employed to examine the relationship between the use of automatic B-lines and early diuretic administration.
Results: The study included 134 patients with pulmonary edema. The time to diuretic administration was significantly shorter in the automatic B-lines group (median time [Q1-Q3], 55 min; range, 35-110 min) compared to the non-automatic B-lines group (median time, 100 min; range, 75-145 min). In the multivariable logistic regression analysis, early diuretic administration within 60 min of triage was significantly more likely in the automatic B-lines group (adjusted odds ratio, 1.45; 95% confidence interval, 1.10-2.45) than in the non-automatic B-lines group.
Conclusions: In a developing country, patients with pulmonary edema who had lung ultrasound evaluation with automated B lines experienced a fastest diuresis compared to those who utilized ultrasonography without automatic B lines. Implementing automatic B-lines as an early screening protocol could enhance clinical practice in the ED.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11613477 | PMC |
http://dx.doi.org/10.1186/s12245-024-00776-1 | DOI Listing |
Ultrason Imaging
July 2025
Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
B-line artifacts in lung ultrasound, pivotal for diagnosing pulmonary conditions, warrant automated recognition to enhance diagnostic accuracy. In this paper, a lung ultrasound B-line vertical artifact identification method based on radio frequency (RF) signal was proposed. B-line regions were distinguished from non-B-line regions by inputting multiple characteristic parameters into nonlinear support vector machine (SVM).
View Article and Find Full Text PDFBioengineering (Basel)
March 2025
Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Lung ultrasound (LUS) is a non-invasive bedside imaging technique for diagnosing pulmonary conditions, especially in critical care settings. A-lines and B-lines are important features in LUS images that help to assess lung health and identify changes in lung tissue. However, accurately detecting and segmenting these lines remains challenging, due to their subtle blurred boundaries.
View Article and Find Full Text PDFAm J Emerg Med
June 2025
University of South Australia, Adelaide, South Australia, Australia. Electronic address:
Background: Artificial intelligence (AI) is used increasingly in point-of-care ultrasound (POCUS). However, the true role, utility, advantages, and limitations of AI tools in POCUS have been poorly understood.
Aim: to conduct a scoping review on the current literature of AI in POCUS to identify (1) how AI is being applied in POCUS, and (2) how AI in POCUS could be utilized in clinical settings.
Emerg Radiol
June 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Emerg Radiol
April 2025
Department of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.