DRKS00025201尚未招募不适用
Considerations on diagnostic accuracy baseline generation for Imaging AI studies illustrated on the CT-based prediction of empyema. - DTA-AI
niversitätsspital Basel0 个研究点目标入组 310 人开始时间: 2021年5月19日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 310
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18 Years 至 one(—)
- 性别
- All
入选标准
- •Eligible patients are retrospectively identified based on the presence of a pleural effusion in the radiological report between 01/2016 and 01/2021. All routine 1mm chest CTs obtained at the University Hospital Basel regardless of contrast phase with pathological reports within 7 days.
排除标准
- •No pathological finding. CT examinations with other acquisition parameters (e.g. CT chest / abdomen 1.5mm). Denied consent.
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