Lung scanner may predict breathing tube removal success

NCT ID NCT06876792

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested a new way to predict if patients on breathing machines can safely have the tube removed. Researchers used a special imaging technique called electrical impedance tomography (EIT) to measure how well the lungs fill with air during a breathing trial. The goal was to see if this method could better predict who would need to go back on the machine within 48 hours, compared to standard tests. The study involved 150 adults with acute respiratory failure.

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Conditions

The condition(s) this trial relates to.

acute respiratory failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Department of Critical Care Medicine,Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,China.

    Shanghai, 200025, China

  • Fujian Provincial Hospital

    Fuzhou, Fujian, 200025, China

  • Peking Union Medical College Hospital

    Beijing, Beijing Municipality, China