NCT05628792尚未招募不适用
In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
Central Hospital, Nancy, France0 个研究点目标入组 20 人开始时间: 2022年12月20日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 20
- 主要终点
- Number of nidus vessels
研究概览
简要总结
To evaluate the image quality and ability to depict in vivo bone vascularization with an ultra-high-resolution computed tomography (UHR-CT) scanner using a deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) algorithms, compared to simulated conventional CT, using osteoid osteoma (OO) as a model.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 70 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Proven osteoid osteoma
- •Ultra High Resolution CT
排除标准
- 未提供
结局指标
主要结局
Number of nidus vessels
时间窗: Retrospective review of all ultra high resolution CT of the precedent 2 years
Number
Number of cortical vessels
时间窗: Retrospective review of all ultra high resolution CT of the precedent 2 years
Number
次要结局
- Confidence Score(Retrospective review of all ultra high resolution CT of the precedent 2 years)
研究者
GILLET Romain
MD, MSK Radiologist
Central Hospital, Nancy, France
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