NCT05313854Unknown不适用
Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- Patient overall survival
研究概览
简要总结
This prospective cohort study is designed to investigate the diagnostic ability and prediction accuracy of pancreatic cancer by radiomics data and clinical data.
详细描述
In this study, investigators aimed to investigate the diagnostic performance and prediction accuracy of pancreatic cancer by radiomics data and clinical data, which include CT scan, MRI, PET-CT, PET-MR, ultrasound, and clinical data.
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 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis
排除标准
- •Have other tumors along with pancreatic tumor; Clinical information missing
结局指标
主要结局
Patient overall survival
时间窗: up to 3 years
Patient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.
次要结局
- Pathology diagnosis(intraoperative)
研究者
研究点 (1)
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