Literature DB >> 31917899

Using lung ultrasound to quantitatively evaluate pulmonary water content.

Hai-Feng Zong1,2,3,4, Guo Guo3,5,6, Jing Liu2,3, Lin-Lin Bao7, Chuan-Zhong Yang1,4.   

Abstract

BACKGROUND: Increases in extravascular lung water (EVLW) can lead to respiratory failure. This study aimed to investigate whether the B-line score (BLS) was correlated with the EVLW content determined by the lung wet/dry ratio in a rabbit model.
METHODS: A total of 45 New Zealand rabbits were randomly assigned to nine groups. Among the animals, models of various lung water content levels were induced by the infusion of different volumes of warm sterile normal saline (NS) via the endotracheal tube. The arterial blood gas, spontaneous respiratory rate, and PaO2 /FiO2 ratio were detected before and after infusion. In addition, the B-lines were determined before and immediately after infusion in each group. Finally, both lungs were resected to determine the wet/dry ratio. In addition, all lung specimens were analyzed histologically, and EVLW was quantified using the BLS based on the number and confluence of B-lines in the intercostal space.
RESULTS: The BLS increased with increasing infusion volume. The BLS was statistically correlated with the wet/dry ratio (r2 = .946) and with the PaO2 /FiO2 ratio (r2 = .916). Furthermore, a repeatability study was performed for the lung ultrasound (LUS) technology (Bland-Altman plots), and the results suggest that LUS had favorable intraobserver and interobserver reproducibility.
CONCLUSIONS: This study is the first to suggest that the BLS can serve as a sensitive, quantitative, noninvasive, and real-time indicator of EVLW in a rabbit model of lung water accumulation. Notably, the BLS displayed an obvious correlation with the experimental gravimetry results and could also be used to predict the pulmonary oxygenation status.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  B-line score; extravascular lung water; gravimetric analysis; lung ultrasound; pulmonary fluid

Year:  2020        PMID: 31917899     DOI: 10.1002/ppul.24635

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


  8 in total

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Journal:  J Perinatol       Date:  2021-08-20       Impact factor: 3.225

2.  Quantitative Analysis and Automated Lung Ultrasound Scoring for Evaluating COVID-19 Pneumonia With Neural Networks.

Authors:  Jiangang Chen; Chao He; Jintao Yin; Jiawei Li; Xiaoqian Duan; Yucheng Cao; Li Sun; Menghan Hu; Wenfang Li; Qingli Li
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3.  Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model.

Authors:  Wenyu Xing; Chao He; Jiawei Li; Wei Qin; Minglei Yang; Guannan Li; Qingli Li; Dean Ta; Gaofeng Wei; Wenfang Li; Jiangang Chen
Journal:  Biomed Signal Process Control       Date:  2022-02-07       Impact factor: 3.880

4.  Lung ultrasound-guided treatment for heart failure: An updated meta-analysis and trial sequential analysis.

Authors:  Yan Li; Hu Ai; Na Ma; Peng Li; Junhong Ren
Journal:  Front Cardiovasc Med       Date:  2022-08-22

5.  Quantifying lung aeration in neonatal lambs at birth using lung ultrasound.

Authors:  Emily J Pryor; Douglas A Blank; Stuart B Hooper; Kelly J Crossley; Shiraz Badurdeen; James A Pollock; Andrew V Stainsby; Linda C P Croton; Dylan W O'Connell; Christopher J Hall; Anton Maksimenko; Daniel Hausermann; Peter G Davis; Marcus J Kitchen
Journal:  Front Pediatr       Date:  2022-09-28       Impact factor: 3.569

Review 6.  Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.

Authors:  Guang Song; Wei Qiao; Xin Wang; Xiaona Yu
Journal:  Int J Infect Dis       Date:  2021-06-17       Impact factor: 3.623

7.  Lung Ultrasound Score Predicts the Extravascular Lung Water Content in Low-Birth-Weight Neonates with Patent Ductus Arteriosus.

Authors:  Min Zhao; Xian-Mei Huang; Lin Niu; Wei-Xing Ni; Zhi-Qun Zhang
Journal:  Med Sci Monit       Date:  2020-06-15

8.  Lung ultrasound as diagnostic tool for SARS-CoV-2 infection.

Authors:  Giorgio Bosso; Enrico Allegorico; Antonio Pagano; Giovanni Porta; Claudia Serra; Valentina Minerva; Valentina Mercurio; Teresa Russo; Concetta Altruda; Paola Arbo; Chiara De Sio; Ferdinando Dello Vicario; Fabio Giuliano Numis
Journal:  Intern Emerg Med       Date:  2020-10-03       Impact factor: 3.397

  8 in total

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