跳至主要内容
临床试验/NCT04270799
NCT04270799Unknown不适用

Lung Nodule Imaging Biobank for Radiomics and AI Research

Royal Marsden NHS Foundation Trust5 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2020年6月1日最近更新:
适应症

试验速览

阶段
不适用
入组人数
1,000
试验地点
5
主要终点
Development of an imaging biobank

研究概览

简要总结

This study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London. The investigators will research whether machine learning can be used to predict which participants will develop lung cancer, to improve early diagnosis.

研究设计

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

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

  • Age > 18
  • Baseline CT thorax imaging reported as having pulmonary nodule(s) between 5 and 30mm in the last 10 years.
  • Ground truth known (either scan data showing stability for 2 years (based on diameter) or one year (based on volumetry), complete resolution, or biopsy-proven malignancy.
  • Slice thickness < 2.5mm.

排除标准

  • • Absence of at least one technically adequate CT thorax imaging series (defined by visual inspection of presence of imaging data of the thorax in the DICOM record).
  • Slice thickness > 2.5mm.
  • Imaging > 10 years old.
  • Ground truth unknown.

结局指标

主要结局

Development of an imaging biobank

时间窗: 1 year

The primary endpoint will be met if we are able to store baseline CT scans and the minimum clinical data set for 1000 patients.

次要结局

  • Discovery of a CT-thorax based radiomics profile to predict cancer risk.(1 year)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (5)

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