Research on the Application of Artificial Intelligence Ultrasonic Recognition Technology in Difficult Airway Assessment

NCT05207254 | Unknown DMC

• 1 other identifier: SH9H-2021-T356-2
• Study Type: observational
• Target: 4,000
• Locations: 1 country
• Sites: 1

Brief Summary

Although there is no related research on the evaluation of difficult airways by ultrasound features based on artificial intelligence, the investigators guess that the evaluation of ultrasound features based on artificial intelligence can make further breakthroughs in difficult airway early warning systems. Therefore, this project intends to use AI technology to extract and analyze the ultrasound features of the subjects, evaluate the correlation between the ultrasound features of the subjects and the occurrence of difficult airways, and construct possible diagnostic models to evaluate AI ultrasound feature recognition in the prediction of difficult airways. The effect and application value of this method are expected to be more intelligent and accurate for early warning of difficult airways in clinical anesthesia.

Conditions

Difficult Airways

Outcome Measures

Primary Outcomes (1)

• Diagnosed as a difficult airway

  Cormack-Lehane was used for grading the best glottic view. In grade the entire glottis was visible; in grade 2 a portion of the glottis was visible; in grade 3 only the epiglottis could be seen; and in grade 4 the epiglottis was not visible. A score of 3-4 indicated difficult video laryngoscopy

  0-10minutes after intubation

Study Arms (2)

difficult airway

C-L≥3 grade

Diagnostic Test: Ultrasonic test

none difficult airway

C-L\<3 grade

Diagnostic Test: Ultrasonic test

Interventions

Ultrasonic test DIAGNOSTIC_TEST

Ultrasonic test to the patient's head, neck and jaw area.

difficult airway; none difficult airway

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

adults who intend to undergo tracheal intubation under general anesthesia

You may qualify if:

• ASA classification is 1-3
• Patients who intend to undergo tracheal intubation under general anesthesia
• Age ≥ 18 years old

You may not qualify if:

• Patients with speech communication and cooperation barriers;
• Patients with open head and neck trauma
• Patients with cervical spine fractures or cervical spine diseases;
• Emergency surgery;
• Patients who are allergic to related drugs.

Sponsors & Collaborators

• Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University: lead

Study Sites (1)

Shanghai 9Th Hospital

Shanghai, Shanghai Municipality, 200000, China

RECRUITING

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 23, 2021
• First Posted: January 26, 2022
• Study Start: December 18, 2021
• Primary Completion: December 1, 2025
• Study Completion: December 30, 2025
• Last Updated: July 13, 2022

Record last verified: 2021-12

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)