Status:
NOT_YET_RECRUITING
AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters
Lead Sponsor:
Mu Dong Liang
Conditions:
Difficult Airway
Eligibility:
All Genders
18+ years
Brief Summary
Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway. Present models are us...
Eligibility Criteria
Inclusion
- age ≥18 years old;
- surgical patients undergoing general anesthesia with endotracheal intubation;
- with head and neck CT examination results
- Consent to participate in the study.
Exclusion
- The presence of laryngeal edema;
- The presence of airway stenosis, including internal airway stenosis (such as foreign body or tumor) or stenosis caused by external tracheal mass compression;
- tracheo-esophageal fistula;
- severe gastroesophageal reflux;
- previous upper airway surgery, such as laryngeal cancer radical surgery, snoring surgery, etc.
- 6）participating in other research projects
Key Trial Info
Start Date :
May 20 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
May 30 2026
Estimated Enrollment :
228 Patients enrolled
Trial Details
Trial ID
NCT06982144
Start Date
May 20 2025
End Date
May 30 2026
Last Update
May 21 2025
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Peking University First Hospital
Beijing, Beijing Municipality, China, 100034