跳至主要内容
临床试验/DRKS00025201
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.

研究者

发起方
niversitätsspital Basel

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