New 3D-CT model could help doctors safely manage airways in infants with rare facial condition
NCT ID NCT07257276
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study is developing a prediction tool using 3D-CT scans to identify which infants with Pierre Robin sequence (a condition with a small jaw and tongue that can block the airway) are likely to have a difficult time during breathing tube placement for surgery. Researchers will analyze scans from 294 infants to create a model based on two key measurements of the airway. The goal is to help anesthesiologists plan safer care for these vulnerable babies.
What this could mean
Our plain-language read of the trial. This is informational only โ not medical advice or a prediction.
- What this could lead to
- If successful, this could provide doctors with a reliable, non-invasive tool to predict airway difficulties before surgery in infants with Pierre Robin sequence, potentially reducing anesthesia risks.
- What could go wrong
- This is an observational study focused on developing a prediction model, not testing a treatment. The model may not perform as well in real-world settings or in infants with other conditions.
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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.
Contacts and locations
Locations
-
anjing Children's Hospital, Affiliated with Nanjing Medical University
Nanjing, Jiangsu, 210008, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can AI read ultrasound to ensure a clear airway?
- Can a camera guide safer breathing tubes during endoscopy?
- Could a single device make emergency intubation faster and safer?
- Can a nasal cannula outperform a face mask in keeping patients oxygenated during emergency intubation?
- Could a simple valve make manual ventilation safer during surgery?
- Scope-Guided tube swap may cut time without oxygen