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
研究组 & 干预措施
Conventional image reconstruction
Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a conventional image reconstruction algorithm. It is automatically generated from a MRI console after the examination.
干预措施: Liver MRI (Diagnostic Test)
Deep learning image reconstruction
Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a deep learning based image reconstruction algorithm (AIRTM). It is additionally generated aside from the conventional images.
For obtaining the images, we will use the same MRI raw data which is used for conventional image reconstruction.
干预措施: Liver MRI (Diagnostic Test)
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
