Literature DB >> 29793589

Characteristic pattern of pleural effusion in electrical impedance tomography images of critically ill patients.

T Becher1, M Bußmeyer2, I Lautenschläger2, D Schädler2, N Weiler2, I Frerichs2.   

Abstract

BACKGROUND: Electrical impedance tomography (EIT) is increasingly used for continuous monitoring of ventilation in intensive care patients. Clinical observations in patients with pleural effusion show an increase in out-of-phase impedance changes. We hypothesised that out-of-phase impedance changes are a typical EIT finding in patients with pleural effusion and could be useful in its detection.
METHODS: We conducted a prospective observational study in intensive care unit patients with and without pleural effusion. In patients with pleural effusion, EIT data were recorded before, during, and after unilateral drainage of pleural effusion. In patients with no pleural effusion, EIT data were recorded without any intervention. EIT images were separated into four quadrants of equal size. We analysed the sum of out-of-phase impedance changes in the affected quadrant in patients with pleural effusion before, during, and after drainage and compared it with the sum of out-of-phase impedance changes in the dorsal quadrants of patients without pleural effusion.
RESULTS: We included 20 patients with pleural effusion and 10 patients without pleural effusion. The median sum of out-of-phase impedance changes was 70 (interquartile range 49-119) arbitrary units (a.u.) in patients with pleural effusion before drainage, 25 (12-46) a.u. after drainage (P<0.0001) and 11 (6-17) a.u. in patients without pleural effusion (P<0.0001 vs pleural effusion before drainage). The area under the receiver operating characteristics curve was 0.96 (95% limits of agreement 0.91-1.01) between patients with pleural effusion before drainage and those without pleural effusion.
CONCLUSIONS: In patients monitored with EIT, the presence of out-of-phase impedance changes is highly suspicious of pleural effusion and should trigger further examination.
Copyright © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  critical care; pleural effusion; thoracocentesis; tomography

Mesh:

Year:  2018        PMID: 29793589     DOI: 10.1016/j.bja.2018.02.030

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  6 in total

Review 1.  Electrical Impedance Tomography for Cardio-Pulmonary Monitoring.

Authors:  Christian Putensen; Benjamin Hentze; Stefan Muenster; Thomas Muders
Journal:  J Clin Med       Date:  2019-08-07       Impact factor: 4.241

Review 2.  Electrical impedance tomography in perioperative medicine: careful respiratory monitoring for tailored interventions.

Authors:  Elena Spinelli; Tommaso Mauri; Alberto Fogagnolo; Gaetano Scaramuzzo; Annalisa Rundo; Domenico Luca Grieco; Giacomo Grasselli; Carlo Alberto Volta; Savino Spadaro
Journal:  BMC Anesthesiol       Date:  2019-08-07       Impact factor: 2.217

3.  Bedside Evaluation of Pulmonary Embolism by Saline Contrast Electrical Impedance Tomography Method: A Prospective Observational Study.

Authors:  Huaiwu He; Yi Chi; Yun Long; Siyi Yuan; Rui Zhang; Inéz Frerichs; Knut Möller; Feng Fu; Zhanqi Zhao
Journal:  Am J Respir Crit Care Med       Date:  2020-11-15       Impact factor: 21.405

4.  Electrical impedance tomography to aid in the identification of hypoxemia etiology: Massive atelectasis or pneumothorax? A case report.

Authors:  Runshi Zhou; Chaokai He; Yi Chi; Siyi Yuan; Bo Tang; Zunzhu Li; Qi Li; Huaiwu He; Yun Long
Journal:  Front Med (Lausanne)       Date:  2022-09-02

5.  Prone positioning monitored by electrical impedance tomography in patients with severe acute respiratory distress syndrome on veno-venous ECMO.

Authors:  Guillaume Franchineau; Nicolas Bréchot; Guillaume Hekimian; Guillaume Lebreton; Simon Bourcier; Pierre Demondion; Loïc Le Guennec; Ania Nieszkowska; Charles-Edouard Luyt; Alain Combes; Matthieu Schmidt
Journal:  Ann Intensive Care       Date:  2020-02-03       Impact factor: 6.925

6.  Real-Time Detection of Hemothorax and Monitoring its Progression in a Piglet Model by Electrical Impedance Tomography: A Feasibility Study.

Authors:  Lin Yang; Chao Zhang; Wenbo Liu; Hang Wang; Junying Xia; Benyuan Liu; Xuetao Shi; Xiuzhen Dong; Feng Fu; Meng Dai
Journal:  Biomed Res Int       Date:  2020-02-27       Impact factor: 3.411

  6 in total

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