AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Difficult Airway. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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 usually based on Mallampati grade and the width of mouth open. However, the prediction accuracy is only about 0.7-0.8 in different populations. Present study is designed to investigate if AI-based prediction model using medical imaging parameters (such as CT and MRI) can increase the accuracy of prediction model.
Primary outcome measures
- The accuracy of prediction model based on AI analysis of medical imaging parameters [Time frame: day 1 (From enrollment to the end of anesthesia induction)]
Eligibility criteria
Inclusion criteria
- 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 criteria
- 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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Peking University First Hospital — Beijing
Identifiers
NCT: NCT06982144 · 2025R-0037