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ARCHERY - Artificial Intelligence Based Radiotherapy Treatment Planning for Cervical, Head and Neck and Prostate Cancer
Sponsor: University College, London
Summary
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
990
Start Date
2023-12-07
Completion Date
2026-09-01
Last Updated
2024-05-22
Healthy Volunteers
No
Interventions
A web-based artificial intelligence (AI) auto-planning tool
The CT scan taken at the time of treatment planning is uploaded to a web server called the Radiotherapy planning assistant which automates the contouring of target organs and areas of high-risk disease as well as defining the size, shape and number of radiotherapy beams to treat the cancer. The final plan is downloaded to the local treatment planning system where the doses are recalculated and clinical peer review is undertaken before the plan can be used clinically. In this study patients will not be treated with the AI tool but the manual plan created by the local teams.
Locations (6)
Tata Medical Centre
Kolkata, India
Tata Memorial Hospital
Mumbai, India
King Hussein Cancer Center
Amman, Jordan
University of Malaya Medical Center
Kuala Lumpur, Malaysia
Groote Schuur Hospital
Cape Town, South Africa
Tygerberg Hospital
Stellenbosch, South Africa