About this trial
The aim of this study is to look at whether an Artificial Intelligence (AI) based computer program can automate two components of the radiotherapy treatment pathway to a sufficient quality standard to enable its routine clinical use. The two components include the delineation (outlining) of anatomical areas that are at risk of tumour spread and at risk of radiation damage, and the definition of the position, size and shape of the radiation beams.
The AI-based computer programs have been developed to perform tasks that would normally require direct human involvement by oncologists and medical physicists. Proposed advantages include improved treatment accuracy, as well as a reduction in the time (from weeks to minutes) and human resources needed to deliver radiotherapy, which this study will test.
Eligibility criteria
Qualifiers
Consecutive patients with histologically confirmed head and neck cancers of the oropharynx, larynx, hypopharynx and nasopharynx (Stage I-III) that have given consent for radical radiotherapy.
Consecutive histologically confirmed primary cervical cancer patients (Stage IB-IIIB including pelvic node positive) that have given consent for radical radiotherapy.
Consecutive histologically confirmed primary prostate cancer patients (T1-4N0M0) that have given consent for radical radiotherapy.
Mental capacity to understand and consent to participate in the study.
Disqualifiers
Patients requiring radiotherapy after curative surgery or surgery that is intended to remove as much of the tumour as possible.
Patients receiving palliative radiotherapy
Patients aged < 18years.
Trial design
Treatments tested in this trial
- A web-based artificial intelligence (AI) auto-planning tool
Treatment groups
Sponsors and collaborators
University College, London
Lead sponsor
National Institutes of Health (NIH)
Collaborator
Rising Tide Foundation
Collaborator
Medical Research Council
Collaborator
Tata Memorial Hospital
Collaborator
Tata Memorial Centre
Collaborator
University of Stellenbosch
Collaborator
King Hussein Cancer Center
Collaborator
University of Malaya
Collaborator
University Ghent
Collaborator
M.D. Anderson Cancer Center
Collaborator
Mount Vernon Cancer Centre at Mount Vernon Hospital
Collaborator
University of Cape Town
Collaborator
National Cancer Institute (NCI)
Collaborator