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Updated: Aug 6, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
Published on: September 6, 2024
Lung Ultrasound and Electrical Impedance Tomography for Monitoring Lung Injury
Paolo Formenti1, Giovanni Bruno2
1Department of Anesthesiology and Intensive Care Medicine, SC Anestesia, Rianimazione e Terapia Intensiva, ASST Nord Milano - Ospedale Bassini, Cinisello Balsamo, Milan 20097, Italy.
Lung ultrasound (LUS) and electrical impedance tomography (EIT) offer complementary real-time monitoring for personalized mechanical ventilation. These tools assess lung function and morphology without interrupting patient treatment, aiding in critical care decisions.
Area of Science:
- Critical Care Medicine
- Respiratory Physiology
- Medical Imaging
Background:
- Individualized mechanical ventilation necessitates real-time monitoring of lung morphology and function.
- Current monitoring methods may interrupt patient treatment.
- Lung ultrasound (LUS) and electrical impedance tomography (EIT) offer non-interruptive monitoring solutions.
Purpose of the Study:
- To review the principles, protocols, and applications of LUS and EIT in mechanical ventilation.
- To highlight the complementary roles of LUS and EIT in assessing lung status.
- To discuss clinical applications for optimizing ventilation strategies.
Main Methods:
- LUS provides morphological assessment via artifacts and direct signs.
- EIT generates dynamic functional maps of ventilation distribution.
- Both techniques are non-invasive and allow continuous monitoring.
Main Results:
- LUS and EIT offer complementary insights into lung condition.
- EIT visualizes responses to changes in PEEP, tidal volume, and patient positioning.
- Clinically useful indices derived from these techniques aid in patient management.
Conclusions:
- LUS and EIT are valuable tools for real-time, individualized mechanical ventilation.
- These technologies support applications in ARDS, ventilator-induced lung injury, PEEP optimization, and weaning.
- Integrating LUS and EIT enhances the precision of respiratory support.
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