Comparing 3D/2D electrical impedance tomography and the R/I ratio to measure lung recruitability during mechanical ventilation
Lung Recruitment Assessed by Two-Dimensional/Three-Dimensional Electrical Impedance Tomography and Recruitment-to-Inflation Ratio in Acute Respiratory Failure Patients With Mechanical Ventilation
This test tries to see if two imaging methods (3D and 2D electrical impedance tomography) and a pressure-based recruitment-to-inflation (R/I) ratio give consistent estimates of how much the lungs can be recruited in sedated adults on mechanical ventilation for acute respiratory failure.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 50 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Peking Union Medical College Hospital Academic / other |
| Locations | 1 site (Beijing, Beijing Municipality) |
| Trial ID | NCT07379242 on ClinicalTrials.gov |
What this trial studies
This is an observational protocol that compares lung recruitability estimates from 3D-EIT, 2D-EIT, and the recruitment-to-inflation (R/I) ratio in mechanically ventilated adults with acute respiratory failure. Participants undergo a standardized PEEP titration while synchronized EIT monitoring records regional impedance changes and R/I ratios are measured at high and low PEEP levels. The study examines agreement and differences between the techniques rather than testing a therapeutic intervention. Patients with contraindications to EIT, hemodynamic intolerance to high PEEP, or other predefined exclusions are not enrolled.
Who should consider this trial
Good fit: Mechanically ventilated adults with acute respiratory failure who are sedated without spontaneous breathing, have a PaO2/FiO2 (oxygenation index) below 300 mmHg, and whose treating team plans a PEEP titration are ideal candidates.
Not a fit: Patients under 18, pregnant patients, those with contraindications to EIT (for example implanted cardiac devices or chest wounds), or those with hemodynamic instability or high-risk pneumothorax/mediastinal emphysema are unlikely to benefit or be eligible.
Why it matters
Potential benefit: If successful, clinicians could have clearer guidance on which bedside measurement best predicts lung recruitability, helping tailor PEEP settings to improve oxygenation and reduce ventilator-induced lung injury.
How similar studies have performed: Previous work using 2D-EIT and the R/I ratio has shown promise for estimating recruitability, but direct comparisons that include 3D-EIT are limited, so this study builds on existing methods while adding 3D data.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Mechanically ventilated patients under sedation and analgesia with no spontaneous breathing. * Oxygenation index \< 300 mmHg. * Patients who are clinically judged by the attending doctor to require the PEEP titration. Exclusion Criteria: * Aged under 18 years. * Pregnancy. * Contraindications for EIT examination (e.g. automatic implantable cardioverter defibrillator, implantable pumps, chest wounds limiting electrode belt placement, severe thoracic deformity, and others). * No informed consent obtained. * Hemodynamic instability with intolerance to high PEEP levels determined by the attending doctor. * High-risk populations with pneumothorax, mediastinal emphysema, and other such conditions determined by the attending doctor.
Where this trial is running
Beijing, Beijing Municipality
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences — Beijing, Beijing Municipality, China (Recruiting)
Study contacts
- Study coordinator: Huaiwu He
- Email: tjmuhhw@126.com
- Phone: 010-6915-2300
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.