Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions

Gaetano Scaramuzzo, Bertrand Pavlovsky, Andy Adler, Walter Baccinelli, Dani L. Bodor, L. Felipe Damiani, Guillaume Franchineau, Juliette Francovich, Inéz Frerichs, Juan A.Sánchez Giralt, Bartłomiej Grychtol, Huaiwu He, Bhushan H. Katira, Alette A. Koopman, Steffen Leonhardt, Luca S. Menga, Amne Mousa, Mariangela Pellegrini, Thomas Piraino, Paolo PrianiPeter Somhorst, Elena Spinelli, Claas Händel, Fernando Suárez-Sipmann, Jantine J. Wisse, Tobias Becher, Annemijn H. Jonkman

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

Electrical impedance tomography (EIT) is an emerging technology for the non-invasive monitoring of regional distribution of ventilation and perfusion, offering real-time and continuous data that can greatly enhance our understanding and management of various respiratory conditions and lung perfusion. Its application may be especially beneficial for critically ill mechanically ventilated patients. Despite its potential, clear evidence of clinical benefits is still lacking, in part due to a lack of standardization and transparent reporting, which is essential for ensuring reproducible research and enhancing the use of EIT for personalized mechanical ventilation. This report is the result of a four-day expert meeting where we aimed to promote the consistent and reliable use of EIT, facilitating its integration into both clinical practice and research, focusing on the adult intensive care patient. We discuss the state-of-the-art regarding EIT acquisition and processing, applications during controlled ventilation and spontaneous breathing, ventilation-perfusion assessment, and novel future directions.

Original languageEnglish
Article number377
JournalCritical Care
Volume28
Issue number1
DOIs
StatePublished - Dec 2024

Keywords

  • Electrical impedance tomography
  • Lung perfusion
  • Mechanical ventilation
  • Respiratory monitoring
  • Signal processing
  • Ventilation distribution

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