New 3D scanner could reveal hidden lung danger in ventilator patients
NCT ID NCT07327268
First seen Jan 08, 2026 · Last updated Jun 23, 2026 · Updated 30 times
Summary
This study will use a new 3D imaging device (3D-EIT) to see if it can detect a pattern called 'cyclic on-off switching' of blood flow in the lungs of 40 adults with moderate to severe ARDS who are on mechanical ventilation. The goal is to validate whether this non-invasive, bedside tool can spot a potential cause of ventilator-induced lung injury. The study is not yet recruiting and is purely observational, aiming to improve understanding rather than test a treatment.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Zhongda Hospital, School of Medicine, Southeast University
Nanjing, Jiangsu, 210009, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to better monitoring of lung injury in ventilated ARDS patients, potentially improving ventilator settings and reducing harm.
What could go wrong
This is a small, early-stage observational study with only 40 participants. It is not testing a treatment, so it may not directly improve patient outcomes.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.