NCT03759756已完成不适用
Application of Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma During Optical Enhancement Magnifying Endoscopy
Shandong University1 个研究点 分布在 1 个国家目标入组 119 人开始时间: 2018年12月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 119
- 试验地点
- 1
- 主要终点
- the diagnosis efficiency of the AI model
研究概览
简要总结
Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 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
- 否
入选标准
- •high risk patients for esophageal cancer aged 18 years or older;
- •Histologically verified early esophageal squamous cell cancer.
排除标准
- •patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.
结局指标
主要结局
the diagnosis efficiency of the AI model
时间窗: 12 months
the sensitivity, specificity and accuracy of the AI model
次要结局
未报告次要终点
研究者
Yanqing Li
Vice president of Qilu Hospital
Shandong University
研究点 (1)
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