NCT03622281已完成不适用
Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence
Shandong University1 个研究点 分布在 1 个国家目标入组 676 人开始时间: 2018年10月20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
- 676
- 试验地点
- 1
- 主要终点
- Adenoma detection rate
研究概览
简要总结
Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulties above, we used artificial intelligence for quality control of colonoscopy.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- Double (Participant, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •aged between 18 and 80;
- •agree to give written informed consent.
排除标准
- •patients with the contraindications to colonoscopy examination;
- •patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery;
- •patients with prior failed colonoscopy and high suspicion of polyposis syndromes, IBD and typical advanced CRC;
- •patients refused to participate in the trial;
- •the colonoscopyprocedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool;
- •the colonoscopy procedure have to be terminated due to complications of anaesthesia.
结局指标
主要结局
Adenoma detection rate
时间窗: 8 months
Adenoma detection rate was defined as the number of exams with findings of adenoma divided by the total number of exams.
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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