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

University College, London990 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

990

Conditions

Cancer of Prostate Cancer Head Neck Cancer Cervix

Interventions

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.

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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.

Locations (6)

Tata Medical Centre

Kolkata, India

RECRUITING

Tata Memorial Hospital

Mumbai, India

RECRUITING

King Hussein Cancer Center

Amman, Jordan

RECRUITING

University of Malaya Medical Center

Kuala Lumpur, Malaysia

RECRUITING

Groote Schuur Hospital

Cape Town, South Africa

RECRUITING

Tygerberg Hospital

Stellenbosch, South Africa

NOT_YET_RECRUITING

Outcomes

Primary Outcomes

Proportion of radiotherapy treatment plans that have contours and dosimetry that meet pre-defined criteria for clinical acceptability

Time frame: Prior to first treatment

Secondary Outcomes

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

Time frame: radiotherapy plan preparation process pre treatment

Comparison of radiotherapy treatment costs using the artificial intelligence automated pathway and standard manual planning pathway

Time frame: radiotherapy treatment plan preparation process and treatment interval

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

Overview

Conditions

Interventions

Eligibility

Locations (6)

Outcomes

Primary Outcomes

Secondary Outcomes

Central Contacts