Teaching bronchoscopy skills using glove sensors, videos, and CT scans
Official title: Procedural Skills Transfer in Bronchoscopy
Run by University of Edinburgh · NCT07168408 · Data updated 2026-11-12
This project will test whether collecting CT scans, bronchoscopy videos, and hand-motion data from up to 300 patients and about 20 bronchoscopists can help teach bronchoscopy skills.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 16 Years and up |
| Sex | All |
| Enrollment | 320 (estimated) |
| Sponsor | University of Edinburgh Academic / other |
| Locations | 1 site (Edinburgh) |
| Status | Recruiting |
| Started | May 6, 2025 |
| Main results expected | December 2026 |
| Study ends | December 2026 |
| Registry record updated | September 21, 2026 |
| Trial ID | NCT07168408 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are patients aged 16 or older scheduled for clinically indicated bronchoscopy who have a CT scan from the prior eight weeks, plus bronchoscopists (including trainees) willing to wear the sensorized glove and complete a short questionnaire.
✕Probably not a fit
Patients without a CT from the prior eight weeks or procedures performed by clinicians who decline to wear the glove are not eligible and are unlikely to benefit directly from the study's training outputs in the near term.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational feasibility project will collect pre-procedure CT scans, endoscopy videos, and clinician hand-motion data recorded with a sensorized glove during routine bronchoscopy over three years. Up to 300 patients (aged 16+) who have had a CT within the prior 8 weeks and around 20 bronchoscopists (including trainees) will take part, with clinicians also completing a brief questionnaire. No additional procedures are required beyond standard care, and data capture is limited to the clinical encounter. The investigators plan to combine these multimodal data to train machine learning models and develop simulators or knowledge tools to support bronchoscopy training.
Why it matters
Potential benefit: If successful, this work could shorten the bronchoscopy learning curve and improve patient safety by creating data-driven training tools.
How similar studies have gone: Related simulation and motion-tracking work in endoscopy and bronchoscopy training has shown promise, but integrating CT, procedural video, and glove-sensor datasets to build ML-driven bronchoscopy teaching tools is still relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria Group 1 * over 16 years of age * patients identified as requiring a bronchoscopy by their clinician * patients must have had a CT scan in the 8 weeks prior to the procedure * capacity to consent Exclusion Criteria Group 1 - Patients who have not had a CT scan in the 8 weeks prior to the procedure Inclusion Criteria Group 2 \- Suitably qualified bronchoscopists, this may include trainee bronchoscopists Exclusion Criteria Group 2 * Clinicians who do not give consent to participate in the study * Clinicians who are not comfortable performing bronchoscopy while wearing the lightweight glove
Where it's running
-
Royal Infirmary of Edinburgh
Edinburgh, United Kingdom Recruiting
Study contacts
- Study coordinator: Adam Marshall
- Email: adam.marshall@nhslothian.scot.nhs.uk
- Phone: 0131 6518293
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.