About this trial
Brief summary The goal of this Feasibility study is to capture bronchoscopy data from patients (Group1) and bronchoscopists (Group 2) over a period of three years. The investigators wish to collect the pre-procedure CT scans and endoscopy videos of 300 patients. Up to 20 bronchoscopists will take part in the study
Primary outcomes
1. To collect imaging data from patients undergoing routine bronchoscopy procedures 2. To collect movement data from clinicians performing the routine bronchoscopy procedures using a sensory Glove
Secondary outcomes
1. Integrate the data gathered with procedure guidelines to develop a representation of procedure success using machine learning algorithms. 2. Develop an actionable knowledge base for bronchoscopy skill transfer to novice/untrained medical staff. 3. Investigate the feasibility of developing models of bronchoscopy procedures to develop training tools in the future
There are no additional samples or time commitments from the participants in Group 1.
The participants in Group 2 will be asked to answer a short questionnaire about their experience in performing bronchoscopies and will be asked to wear a sensory glove during the bronchoscopy procedure to capture their hand movements.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
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
Disqualifiers
Clinicians who do not give consent to participate in the study
Clinicians who are not comfortable performing bronchoscopy while wearing the lightweight glove
Trial population
Group 1- Patients undergoing a routine, clinically indicated bronchoscopy procedure Group 2- Clinicians currently involved in performing bronchoscopy procedures
Trial design
Other
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
To collect imaging data from patients undergoing routine bronchoscopy procedures
The bronchoscopy images will be recorded using a screen capture device
to collect movement data from clinicians performing the routine bronchoscopy procedures
A sensory glove will be worn by the clinicians to capture their hand movements during the routine bronchoscopy
Secondary outcomes
Integrate the data gathered with procedure guidelines to develop a representation of procedure success using machine learning algorithms
Develop machine learning algorithms to
Investigate the feasibility of developing models of bronchoscopy procedures to develop training tools in the future.
Once data has been analysed investigate whether this can be used to develop training tools for future clinicians
Sponsors and contacts
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