NCT04270799Unknown不适用
Lung Nodule Imaging Biobank for Radiomics and AI Research
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
- 否
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
研究点 (5)
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