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临床试验/NCT05368298
NCT05368298进行中(未招募)不适用

Sample Collection for The Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes With Thoracic Diseases

University of Oxford22 个研究点 分布在 1 个国家目标入组 872 人开始时间: 2022年8月11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
872
试验地点
22
主要终点
To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT algorithm compared to not using them

研究概览

简要总结

The study will use a blood sample collected from participants to:

  • Develop new ways of finding and diagnosing lung health problems, such as lung cancer.
  • Develop tools which make it easier to screen people with possible lung health problems, diagnose problems earlier and with fewer tests, and start the best treatment faster.
  • Help improve the early diagnosis of lung cancer, as finding lung cancer early means that it can be treated more easily and successfully.

详细描述

The results from this study will be linked with the data from the DART study (also collecting data through the Lung Health Check programme) to develop new ways of using computer technology (artificial intelligence) to improve lung health care. The studies use computer programs (called 'algorithms') which can be trained to analyse medical samples. Once developed, these algorithms can be used to support doctors by increasing their speed and accuracy of diagnosing issues.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Other

入排标准

年龄范围
55 Years 至 75 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patient suitability will be assessed against the below criteria by the clinical teams managing the patients.
  • Inclusion Criteria:
  • Patients with a pulmonary nodule or nodule(s) detected on a CT scan performed as part of Lung Cancer Screening from the Lung Health Check centres, that require further investigation with a PET-CT scan, and / or biopsy, and / or resection
  • Willing and able to give informed consent

排除标准

  • 未提供

结局指标

主要结局

To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT algorithm compared to not using them

时间窗: by February 2025

次要结局

  • To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT and blood markers algorithm compared to not using them(by February 2025)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (22)

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