Electrical impedance tomography in acute respiratory distress syndrome

M. Consuelo Bachmann, Caio Morais, Guillermo Bugedo, Alejandro Bruhn, Arturo Morales, João B. Borges, Eduardo Costa, Jaime Retamal*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

122 Scopus citations


Acute respiratory distress syndrome (ARDS) is a clinical entity that acutely affects the lung parenchyma, and is characterized by diffuse alveolar damage and increased pulmonary vascular permeability. Currently, computed tomography (CT) is commonly used for classifying and prognosticating ARDS. However, performing this examination in critically ill patients is complex, due to the need to transfer these patients to the CT room. Fortunately, new technologies have been developed that allow the monitoring of patients at the bedside. Electrical impedance tomography (EIT) is a monitoring tool that allows one to evaluate at the bedside the distribution of pulmonary ventilation continuously, in real time, and which has proven to be useful in optimizing mechanical ventilation parameters in critically ill patients. Several clinical applications of EIT have been developed during the last years and the technique has been generating increasing interest among researchers. However, among clinicians, there is still a lack of knowledge regarding the technical principles of EIT and potential applications in ARDS patients. The aim of this review is to present the characteristics, technical concepts, and clinical applications of EIT, which may allow better monitoring of lung function during ARDS.

Original languageEnglish
Article number263
JournalCritical Care
Issue number1
StatePublished - 25 Oct 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).


  • Acute respiratory distress syndrome
  • Electrical impedance tomography
  • Lung imaging
  • Mechanical ventilation
  • Ventilation distribution


Dive into the research topics of 'Electrical impedance tomography in acute respiratory distress syndrome'. Together they form a unique fingerprint.

Cite this