NCT04339855Unknown不适用
Artificial Intelligence Combined With LCI for Colorectal Polyp Detection
Johannes Gutenberg University Mainz1 个研究点 分布在 1 个国家目标入组 600 人开始时间: 2019年2月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 600
- 试验地点
- 1
- 主要终点
- Colorectal polyp detection rate in comparison to traditional detection rate
研究概览
简要总结
Linked color imaging (LCI) has shown its effectiveness in multiple randomized controlled trials for enhanced colorectal polyp detection. Most recently, artificial intelligence (AI) with deep learning through convolutional neural networks has dramatically improved and is increasingly recognized as a promising new technique enhancing colorectal polyp detection. Study aim was to evaluate a new developed deep-learning computer-aided detection (CAD) system in combination with LCI for colorectal polyp detection.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
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
- •Full endoscopy withdrawal videos with LCI of patients ondergoing screening or surveillance endoscopy
排除标准
- •non adequate bowel preparation
- •no full length withdrawal in LCI mode
结局指标
主要结局
Colorectal polyp detection rate in comparison to traditional detection rate
时间窗: 2019-2020
次要结局
未报告次要终点
研究者
Prof. Helmut Neumann
Director Interdisciplinary Endoscopy
Johannes Gutenberg University Mainz
研究点 (1)
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