ARCHERY - Artificial Intelligence Based Radiotherapy Treatment Planning for Cervical, Head and Neck and Prostate Cancer

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.

Conditions

• Cancer of Prostate
• Cancer Head Neck
• Cancer Cervix

Interventions

OTHER

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.

Sponsors & Collaborators

• National Institutes of Health (NIH)

  collaborator NIH

• Rising Tide Foundation

  collaborator OTHER

• Medical Research Council

  collaborator OTHER_GOV

• Tata Memorial Hospital

  collaborator OTHER_GOV

• Tata Memorial Centre

  collaborator OTHER

• University of Stellenbosch

  collaborator OTHER

• King Hussein Cancer Center

  collaborator OTHER

• University of Malaya

  collaborator OTHER

• University Ghent

  collaborator OTHER

• M.D. Anderson Cancer Center

  collaborator OTHER

• Mount Vernon Cancer Centre at Mount Vernon Hospital

  collaborator OTHER

• University of Cape Town

  collaborator OTHER

• National Cancer Institute (NCI)

  collaborator NIH

• University College, London

  lead OTHER

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2023-12-07

Primary Completion

2025-12-01

Completion

2026-09-01

Countries

• India
• Jordan
• Malaysia
• South Africa

Study Locations