NCT05235646已完成不适用
Detection of the Occurrence of Infiltration of Gadolinium Injection in Brain MR Scans Using Artificial Intelligence
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- Mayo Clinic
- 入组人数
- 40
- 试验地点
- 1
- 主要终点
- Detection of Infiltration of Gadolinium contrast agent into tissue and muscle using artificial intelligence model
研究概览
简要总结
The purpose of this research is to develop machine learning algorithms to analyze images from brain MRI to confirm that contrast agent has been correctly administered.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
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
- •Patients undergoing a MR brain without and with contrast examination on any GE or Siemens 1.5T and 3T MRI system within Mayo Clinic, Rochester, as part of their care plan.
排除标准
- 未提供
结局指标
主要结局
Detection of Infiltration of Gadolinium contrast agent into tissue and muscle using artificial intelligence model
时间窗: 2 months
Correct detection of the presence of infiltration of Gadolinium contrast agent into tissue and muscleusing an artificial intelligence model. This outcome will be determined by measuring the difference in signal enhancement in the nasal mucosa or the lack of signal enhancement within the nasal mucosa.
次要结局
未报告次要终点
研究者
James G. Pipe
Principal Investigator
Mayo Clinic
研究点 (1)
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