Lung Cancer, Lung Diseases, Lung Diseases, Obstructive, Lung Neoplasms, Lung Transplantation
Conditions
Brief summary
The primary aim is to develop a software algorithm that has the capacity to detect the normal 18 anatomical structures of the lung by using the position of the scope during the bronchoscopy procedure and using existing bronchoscopy technology.
Detailed description
A data collection of bronchoscopy videos from 100-150 patients are enrolled for getting image material of different lung anatomies, captured with CE-marked and FDA-approved Ambu bronchoscopes (Ambu® aScope™ 5 Broncho HD). No intervention will take place, only standard of care. All types of indications are enrolled. All patients were given oral and written information prior to participating, and signed consent was provided. No patient identifiable information is stored.
Interventions
DIAGNOSTIC_TESTBronchoscopy
No intervention will take place in this study, only image material will be captured from the standard-of-care bronchoscopy
Sponsors
Odense University Hospital
Ambu A/S
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients indicated for bronchoscopy of central airways as per standard of care * Patients of 18 years or above
Exclusion criteria
* Lack of patient cooperation for bronchoscopy (e.g. patients with mental disorders, dysgnosia, psychological disorder) * Patients unable or unwilling to give informed consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of bronchial segments accessed during bronchoscopy | 1 year | Accurate procedure recordings by the bronchoscope of all 18 anatomical segments +/- abnormalities |
Countries
Denmark
Outcome results
None listed