The Auxiliary Effect of Artificial Intelligence in the Detection of Precancerous Lesions in Proximal Colon Cancer: A Multicenter Randomized Controlled Study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,200
- 试验地点
- 1
- 主要终点
- Adenoma detection rate
研究概览
简要总结
The investigators conducted a multicenter randomized controlled trial to explore the adjuvant effect of artificial intelligence in the detection of precancerous lesions in the proximal colon.This is a prospective, multicenter, single-blind, parallel randomized controlled trial.During the colonoscopy retraction process, the investigators aimed to compare the detection rates of proximal colon adenomas with and without the assistance of an AI(Artificial Intelligence) diagnostic device.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •1.Patients with symptoms such as abdominal pain, black stools, constipation, or diarrhea undergo colonoscopy for diagnostic purposes.
排除标准
- •Those with inflammatory bowel disease, colorectal cancer and surgical history, as well as those with familial polyposis syndrome
- •Those with intestinal obstruction or malignant tumors
- •Patients with colorectal lesions that need to be treated in stages.
- •Other contraindications for colonoscopy examination.
结局指标
主要结局
Adenoma detection rate
时间窗: Day 1
The proportion of patients who have at least one adenoma detected during colonoscopy examination
Average adenoma detection rate
时间窗: Day 1
The result is the number of adenomas detected by colonoscopy divided by the total number of colonoscopies performed.
次要结局
未报告次要终点
研究者
Limian Er
The director of the Endoscopy Department of the Fourth Hospital of Hebei Medical University
Hebei Medical University Fourth Hospital
