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ID07718451

Study Comparing Multi-Patient CT-Derived Digital Twin Anatomical Variability Training Versus Uniform Simulation Models to Improve Early Bronchoscopy Skills in Novice Trainees

Led by Gang Hou · Updated on 2026-07-22

110

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating whether multi-patient CT-derived digital twin anatomical variability training can shorten the early clinical learning curve for novice bronchoscopists compared with conventional anatomically uniform bronchoscopy simulation training. The study focuses on trainees in pulmonary medicine, critical care, thoracic surgery, anesthesiology, or related fields who have performed five or fewer flexible bronchoscopies and have no prior formal bronchoscopy simulation training. The main goal is to assess improvements in clinical bronchoscopy performance using the Ontario Bronchoscopy Assessment Tool OBAT during the first 1 to 30 supervised real-patient flexible bronchoscopies. Participants will be randomly assigned to one of two training groups one using multiple patient-specific CT-derived digital twin airway models representing diverse bronchial anatomical variations, and the other using a conventional anatomically uniform standard airway model. Both groups receive equal training duration, instructor supervision, and standardized feedback. After training, participants will perform simulation transfer tests on previously unseen airway models and then conduct supervised real-patient low-risk diagnostic flexible bronchoscopies during their clinical training. Throughout the study, participants competence will be monitored through repeated assessments with the OBAT, procedural efficiency metrics, and safety evaluations. Real patients will complete questionnaires about anxiety, discomfort, coughing, satisfaction, and willingness to repeat bronchoscopy. The study tracks early clinical bronchoscopy performance up to 12 weeks after randomization and extended learning-curve performance up to 18 months, with data collection including training logs, procedural videos, and clinical outcomes.

CONDITIONS

Brief Title

Randomized Controlled Trial of Multi-Patient CT-Derived Digital Twin Anatomical Variability Training to Shorten the Clinical Learning Curve for Bronchoscopy

Research Team

G

Gang Hou, PhD

R

Run Tong, PhD

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