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To B or not to B-lines.

作者信息

Gonzalez Filipe André, Bacariza Jacobo, Leote Joao

机构信息

Cardiovascular Research Center, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal.

Intensive Care Department, Hospital Garcia de Orta EPE, Almada, Portugal.

出版信息

J Anesth Analg Crit Care. 2024 Sep 5;4(1):61. doi: 10.1186/s44158-024-00196-w.

DOI:10.1186/s44158-024-00196-w
PMID:39238052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11378440/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ab0/11378440/6d4320ccdb3d/44158_2024_196_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ab0/11378440/6d4320ccdb3d/44158_2024_196_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ab0/11378440/6d4320ccdb3d/44158_2024_196_Fig1_HTML.jpg

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本文引用的文献

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Lung ultrasound among Expert operator'S: ScOring and iNter-rater reliability analysis (LESSON study) a secondary COWS study analysis from ITALUS group.专家操作者的肺部超声:评分与评分者间可靠性分析(LESSON研究)——来自ITALUS组的一项COWS研究二次分析
J Anesth Analg Crit Care. 2024 Jul 31;4(1):50. doi: 10.1186/s44158-024-00187-x.
2
Lung ultrasound and supine chest X-ray use in modern adult intensive care: mapping 30 years of advancement (1993-2023).现代成人重症监护中肺部超声与仰卧位胸部X线检查的应用:30年进展图谱(1993 - 2023年)
Ultrasound J. 2024 Feb 12;16(1):7. doi: 10.1186/s13089-023-00351-4.
3
Make It Less Complex: Autoencoder for Speckle Noise Removal-Application to Breast and Lung Ultrasound.
简化处理:用于去除散斑噪声的自动编码器——在乳腺和肺部超声中的应用
J Imaging. 2023 Oct 10;9(10):217. doi: 10.3390/jimaging9100217.
4
Development of a novel observed structured clinical exam to assess clinical ultrasound proficiency in undergraduate medical education.开发一种新型的观察性结构化临床考试,以评估本科医学教育中的临床超声能力。
Ultrasound J. 2023 Sep 25;15(1):39. doi: 10.1186/s13089-023-00337-2.
5
Influence of Ultrasound Settings on Laboratory Vertical Artifacts.超声设置对实验室垂直伪影的影响。
Ultrasound Med Biol. 2023 Aug;49(8):1901-1908. doi: 10.1016/j.ultrasmedbio.2023.03.018. Epub 2023 May 6.
6
Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in echocardiography.机器学习实时评估危重症患者左心室射血分数:超声心动图新手和专家的床边评估。
Crit Care. 2022 Dec 14;26(1):386. doi: 10.1186/s13054-022-04269-6.
7
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses.肺部超声的最新技术:从定性分析到定量分析的转变。
Ultrasound Med Biol. 2022 Dec;48(12):2398-2416. doi: 10.1016/j.ultrasmedbio.2022.07.007. Epub 2022 Sep 23.
8
Automation of sub-aortic velocity time integral measurements by transthoracic echocardiography: clinical evaluation of an artificial intelligence-enabled tool in critically ill patients.经胸超声心动图测量主动脉下速度时间积分的自动化:一种人工智能工具在危重症患者中的临床评估
Br J Anaesth. 2022 Nov;129(5):e116-e119. doi: 10.1016/j.bja.2022.07.037. Epub 2022 Aug 26.
9
New International Guidelines and Consensus on the Use of Lung Ultrasound.国际新指南与共识:肺超声的应用
J Ultrasound Med. 2023 Feb;42(2):309-344. doi: 10.1002/jum.16088. Epub 2022 Aug 22.
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Time course of lung ultrasound findings in patients with COVID-19 pneumonia and cardiac dysfunction.新型冠状病毒肺炎合并心脏功能障碍患者肺部超声检查结果的时间进程
Ultrasound J. 2022 Jul 7;14(1):28. doi: 10.1186/s13089-022-00278-2.