AIRTM Deep Learning Reconstruction of Abdominal High Resolution Gd-EOB-DTPA Enhanced MRI in Patients With Suspicious Focal Liver Lesions: Image Quality Assessment
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 52
- 试验地点
- 1
- 主要终点
- Overall image quality of arterial phase
研究概览
简要总结
This study aims to compare image qualities between conventionally reconstructed MRI sequences and deep-learning reconstructed MRI sequences from the same data in patients who undergo Gd-EOB-DTPA enhanced liver MRI. The AIRTM deep learning sequence is applicable for various MRI sequences including T2-weighted image (T2WI), T1-weighted image and diffusion-weighted image (DWI). We plan to perform intra-individual comparisons of the image qualities between two reconstructed image datasets.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- Single (Outcomes Assessor)
盲法说明
blinded to the reconstruction types
入排标准
- 年龄范围
- 20 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •older than 20 years old
- •scheduled for Gd-EOB-DTPA enhanced liver MRI at a 3T scanner (Premier, GE Healthcare) in our institution
- •signed informed consent
排除标准
- •younger than 20 years old
- •any absolute/relative contrast indication of Gd-EOB-DTPA enhanced MRI
- •history of transient dyspnea after Gd-EOB-DTPA administration
结局指标
主要结局
Overall image quality of arterial phase
时间窗: 3 months after enrollment completion
qualitative assessment of arterial phase on a five point scale (highest score indicates better image quality)
次要结局
未报告次要终点
研究者
Jeong Min Lee
Professor
Seoul National University Hospital