NCT05718193已完成不适用
Real-Time Artificial Intelligence Assissted Colonoscopy to Identify and Classify Polyps
Xiangya Hospital of Central South University2 个研究点 分布在 1 个国家目标入组 2,868 人开始时间: 2022年6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
- 2,868
- 试验地点
- 2
- 主要终点
- adenoma detection rate
研究概览
简要总结
To investigate the degree of the real-time detection and classification system for increasing the adenoma detection rate during colonoscopy.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Aged 18 to 85 years old. Colonoscopies for primary CRC screening of the subjects are required.
排除标准
- •History of CRC,inflammatory bowel disease, previous colonic resection, antithrombotic therapy precluding polyp resection.
结局指标
主要结局
adenoma detection rate
时间窗: up to 9 months
Percentage of patients who have 1 or more histologically confirmed adenoma resected divided by the total number of colonoscopies.
adenomas per colonoscopy
时间窗: up to 9 months
Total number of histologically confirmed adenomas resected divided by the total number of colonoscopies.
次要结局
未报告次要终点
研究者
研究点 (2)
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