The database of Lung Computed Tomography and Videobronchoscopy
Research type
Research Database
IRAS ID
198081
Contact name
Pallav Shah
Contact email
Research summary
The Database of Lung Computed Tomography and Videobronchoscopy for Bronchoscopic Intervention
REC name
London - South East Research Ethics Committee
REC reference
16/LO/0170
Date of REC Opinion
1 Apr 2016
REC opinion
Further Information Favourable Opinion
Data collection arrangements
This research database will collect information from patients undergoing tests for lung diseases in hospital. We will ask patients if they are willing to contribute to the database before any information is included. Specifically we will collect copies of computed tomography (CT) scans and videos of bronchoscopy (camera examination of the lungs). In addition we will collect information such as age, sex and gender along with the diagnosis of the disease. All the information will be anonymous so that no one participating can be identified. The data will be uploaded to the database over a secure internet connection.
Research programme
The aim is to help develop new programmes that can improve the diagnosis and management of lung diseases. The database will help support researchers work on specific projects such as learning how to navigate around the lungs to a particular point so that we can take more accurate samples for diagnosis of disease such as lung cancer. It may also be used to help computers make diagnoses from scans without the need for much interaction from a person. This could potentially speed up the diagnosis of lung disease and make it more accurate, meaning patients have to undergo fewer tests. The data will be held by the Hamlyn Centre for Medical Robotics at Imperial College, London.
Research database title
The Database of Lung Computed Tomography and Videobronchoscopy for Bronchoscopic Intervention
Establishment organisation
The Hamlyn Centre, Imperial College London
Establishment organisation address
Bessemer Building B411 Level 4
South Kensington Campus, Imperial College London
London
SW7 2AZ