NCT05025319进行中(未招募)不适用
Optimization of Bedside Chest X-rays Taken in the Intensive Care Unit by Using Current Software-based Techniques
Joint Authority for Päijät-Häme Social and Health Care1 个研究点 分布在 1 个国家目标入组 500 人开始时间: 2020年8月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 发起方
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Image quality
研究概览
简要总结
This study investigates how to utilize an algorithm-based virtual grid in lung imaging in intensive care unit patients. The aim is to compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image quality. The study aims to determine how the radiation dose can be lowered and still obtain the same diagnostic image quality as using a traditional scatter-limiting lattice.
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
- •All patients in the intensive care unit with an imaging of the lung.
排除标准
- •Pregnancy
结局指标
主要结局
Image quality
时间窗: 2 years
Compare the radiation dose caused by imaging with a virtual grid and a traditional grid and relate this to the achieved image qualit
次要结局
未报告次要终点
研究者
Marjo Soini
Chief Physicist
Joint Authority for Päijät-Häme Social and Health Care
研究点 (1)
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