Cancer of Prostate Clinical Trial
Official title:
ARCHERY - Artificial Intelligence Based Radiotherapy Treatment Planning for Cervical, Head and Neck and Prostate Cancer
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.
Status | Recruiting |
Enrollment | 990 |
Est. completion date | September 1, 2026 |
Est. primary completion date | December 1, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. 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. 2. Consecutive histologically confirmed primary cervical cancer patients (Stage IB-IIIB including pelvic node positive) that have given consent for radical radiotherapy. 3. Consecutive histologically confirmed primary prostate cancer patients (T1-4N0M0) that have given consent for radical radiotherapy. 4. Mental capacity to understand and consent to participate in the study. 5. Patients aged =18years. Exclusion Criteria: 1. Patients requiring radiotherapy after curative surgery or surgery that is intended to remove as much of the tumour as possible. 2. Patients receiving palliative radiotherapy 3. Patients aged < 18years. |
Country | Name | City | State |
---|---|---|---|
India | Tata Medical Centre | Kolkata | |
India | Tata Memorial Hospital | Mumbai | |
Jordan | King Hussein Cancer Center | Amman | |
Malaysia | University of Malaya Medical Center | Kuala Lumpur | |
South Africa | Groote Schuur Hospital | Cape Town | |
South Africa | Tygerberg Hospital | Stellenbosch |
Lead Sponsor | Collaborator |
---|---|
University College, London | King Hussein Cancer Center, M.D. Anderson Cancer Center, Medical Research Council, Mount Vernon Cancer Centre at Mount Vernon Hospital, National Cancer Institute (NCI), National Institutes of Health (NIH), Rising Tide Foundation, Tata Memorial Centre, Tata Memorial Hospital, University Ghent, University of Cape Town, University of Malaya, University of Stellenbosch |
India, Jordan, Malaysia, South Africa,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Proportion of radiotherapy treatment plans that have contours and dosimetry that meet pre-defined criteria for clinical acceptability | Prior to first treatment | ||
Secondary | comparison of time and human resource requirements between producing automated radiotherapy treatment plans using artificial intelligence and producing treatment plans using the standard manual pathway | radiotherapy plan preparation process pre treatment | ||
Secondary | Comparison of radiotherapy treatment costs using the artificial intelligence automated pathway and standard manual planning pathway | radiotherapy treatment plan preparation process and treatment interval |
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