The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Patient satisfaction
研究概览
简要总结
By enrolling patients who underwent cardiac MR(Magnetic Resonance) examinations at our center and using randomized allocation, the patients were divided into a study group and a control group. The study group underwent scanning using AI-based(Artificial Intelligence-based) cardiac MRI(Magnetic Resonance Imaging) sequences, while the control group was scanned using non-AI cardiac MRI sequences
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 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 requiring cardiac MRI in clinical practice;
- •Patient age ≥ 18 years;
- •The patient has signed an informed consent form.
排除标准
- •Patients with contraindications to magnetic resonance imaging;
- •Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements;
- •Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial;
- •Subjects or their legal guardians voluntarily requesting to withdraw.
结局指标
主要结局
Patient satisfaction
时间窗: immediately after procedure
Patient satisfaction will be evaluated using a Likert scale with the following scoring criteria:5 - Very Satisfied;4 - Satisfied;3 - Neutral;2 - Dissatisfied;1 - Very Dissatisfied
次要结局
- total scan time(During procedure)
- objective image measurements (signal-to-noise ratio)(one week)
研究者
Lian Yang
Director
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
