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Randomized Controlled Trial of Multi-Patient CT-Derived Digital Twin Anatomical Variability Training to Shorten the Clinical Learning Curve for Bronchoscopy
Sponsor: Gang Hou
Summary
This study aims to determine whether multi-patient CT-derived digital twin anatomical variability training can shorten the early clinical learning curve of novice bronchoscopists compared with conventional anatomically uniform bronchoscopy simulation training.
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
INTERVENTIONAL
Enrollment
110
Start Date
2026-05-20
Completion Date
2027-12-30
Last Updated
2026-07-22
Healthy Volunteers
No
Interventions
Multi-patient CT-derived digital twin anatomical variability training
Participants assigned to this intervention receive bronchoscopy simulation training using multiple patient-specific CT-derived digital twin airway models representing diverse bronchial anatomical patterns and variations. The training is designed to expose novice bronchoscopists to realistic inter-patient anatomical variability, with standardized instructor feedback, repeated navigation practice, and progressive procedural tasks aimed at improving adaptability, airway recognition, navigation efficiency, and early clinical bronchoscopy performance.
Anatomically uniform standard-model bronchoscopy simulation training
Participants assigned to the control intervention receive bronchoscopy simulation training using a conventional anatomically uniform standard airway model without substantial anatomical variation between cases. Training duration, instructor supervision, and procedural objectives are standardized to match the intervention group, focusing on basic bronchoscopy handling, airway navigation, and procedural technique within a fixed and repetitive anatomical environment
Locations (1)
China-Japan Friendship Hospital
Beijing, Beijing Municipality, China