NCT07620457尚未招募不适用
Image Quality Evaluation of Coronary CT Angiography Using Deep Learning-Based Spectral Precise Image Reconstruction
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 200
- 试验地点
- 1
研究概览
简要总结
This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as part of their routine clinical evaluation will be included.
详细描述
Eligible dataset will be selected from the existing CT scan datasets generated at the study site, based on the CT scanning parameters, enrolled study participant datasets will be divided into Group A (120kVp, DRI=30) and Group B (100kVp, DRI=24). One hundred cases are planned to be enrolled in each group, with a total target of 200 datasets to be collected.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 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
- 是
入选标准
- •Datasets from Patients who underwent spectral coronary CT angiography (CCTA).
- •Datasets from study participants with age ≥ 18 years old.
- •Scan parameters that meet the criteria defined in the 5.4.3.
排除标准
- •The clinical data information is considered incomplete after evaluation by the investigator.
- •The investigator determined that poor image quality (e.g. obvious artifacts, missing critical scan layers) would not satisfy post-processing analysis.
- •Data of patients deemed inappropriate for inclusion after evaluation by the investigator.
研究者
研究点 (1)
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