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

Last updated: May 20, 2024
Sponsor: University College, London
Overall Status: Active - Recruiting

Phase

N/A

Condition

Prostate Cancer, Early, Recurrent

Prostate Cancer

Urologic Cancer

Treatment

A web-based artificial intelligence (AI) auto-planning tool

Clinical Study ID

NCT05653063
ARCHERY
10678756
1U01CA269143-01
  • Ages > 18
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  1. Consecutive patients with histologically confirmed head and neck cancers of theoropharynx, larynx, hypopharynx and nasopharynx (Stage I-III) that have givenconsent for radical radiotherapy.

  2. Consecutive histologically confirmed primary cervical cancer patients (Stage IB-IIIBincluding 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

Exclusion Criteria:

  1. Patients requiring radiotherapy after curative surgery or surgery that is intendedto remove as much of the tumour as possible.

  2. Patients receiving palliative radiotherapy

  3. Patients aged < 18years.

Study Design

Total Participants: 990
Treatment Group(s): 1
Primary Treatment: A web-based artificial intelligence (AI) auto-planning tool
Phase:
Study Start date:
December 07, 2023
Estimated Completion Date:
September 01, 2026

Connect with a study center

  • Tata Medical Centre

    Kolkata,
    India

    Active - Recruiting

  • Tata Memorial Hospital

    Mumbai,
    India

    Active - Recruiting

  • King Hussein Cancer Center

    Amman,
    Jordan

    Active - Recruiting

  • University of Malaya Medical Center

    Kuala Lumpur,
    Malaysia

    Active - Recruiting

  • Groote Schuur Hospital

    Cape Town,
    South Africa

    Active - Recruiting

  • Tygerberg Hospital

    Stellenbosch,
    South Africa

    Site Not Available

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