Addenbrookes Secure Therapeutic Radiology Image Dataset (AStRID)
Research type
Research Database
IRAS ID
312143
Contact name
Rajesh Jena
Contact email
Research summary
Addenbrookes Secure Therapeutic Radiology Image Dataset (AStRID)
REC name
West Midlands - Edgbaston Research Ethics Committee
REC reference
22/WM/0072
Date of REC Opinion
19 Apr 2022
REC opinion
Further Information Favourable Opinion
Data collection arrangements
We wish to build a database of de-identified (pseudonymised) scans from patients who have undergone radiotherapy treatment at Addenbrooke’s Hospital that can be used for Artificial Intelligence research.
We will collect four types of scan data. First is a computed tomography (CT) scan that is used as the basis of radiotherapy treatment planning. Second is a 'structure set' image where clinicians mark the tumour target and healthy structures on top of the CT scan images. Third is the radiation dose map that is created for each patient's treatment, and the fourth is the scanning data taken on the radiotherapy treatment unit to verify the correct positioning of the tumour target prior to each treatment.
Data will be collected, de-identified and stored securely on servers in the Department of pHysics in the University of Cambridge.
Research programme
The database is designed to support radiotherapy research. Current research uses artificial intelligence and machine learning to develop new ways of analysing radiotherapy images. The researchers using the data will be clinical staff in the radiotherapy department at Addenbrooke's hospital, as well as University research staff, from undergraduate students to PhD and post-doctoral researchers, mainly in the departments of Physics and Mathematics.
Research database title
Addenbrookes Secure Therapeutic Radiology Image Dataset (AStRID)
Establishment organisation
Cambridge University Hospitals NHS Foundation Trust
Establishment organisation address
R&D Department,
Cambridge Biomedical Campus
Cambridge
CB2 0QQ