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临床试验/NCT05653063
NCT05653063进行中(未招募)不适用

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

University College, London10 个研究点 分布在 4 个国家目标入组 1,029 人开始时间: 2023年12月7日最近更新:
适应症

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
1,029
试验地点
10
主要终点
Proportion of radiotherapy treatment plans that have contours and dosimetry that meet pre-defined criteria for clinical acceptability

研究概览

简要总结

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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.
  • Consecutive histologically confirmed primary cervical cancer patients (Stage IB-IIIB including pelvic node positive) that have given consent for radical radiotherapy.
  • Consecutive histologically confirmed primary prostate cancer patients (T1-4N0M0) that have given consent for radical radiotherapy.
  • Mental capacity to understand and consent to participate in the study.
  • Patients aged ≥18years.

排除标准

  • Patients requiring radiotherapy after curative surgery or surgery that is intended to remove as much of the tumour as possible.
  • Patients receiving palliative radiotherapy
  • Patients aged < 18years.

结局指标

主要结局

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

时间窗: Prior to first treatment

次要结局

  • 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)
  • Comparison of radiotherapy treatment costs using the artificial intelligence automated pathway and standard manual planning pathway(radiotherapy treatment plan preparation process and treatment interval)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (10)

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