跳至主要内容
临床试验/NCT04126265
NCT04126265Unknown不适用

Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps: a Prospective Randomized Cohort Study

Side Liu1 个研究点 分布在 1 个国家目标入组 560 人开始时间: 2019年9月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
发起方
入组人数
560
试验地点
1
主要终点
Detection rate of small polyps (diameter < 6mm)

研究概览

简要总结

All subjects shall sign informed consent before screening, and subjects shall be included according to inclusion and exclusion criteria.

A total of four endoscopists were included in the study, two in each group of senior endoscopists and two in each group of junior endoscopists.

Patients were randomly enrolled into the senior endoscopy group and the junior endoscopy group, and received artificial intelligence assisted colonoscopy and conventional colonoscopy successively. The two colonoscopy methods were performed back to back by different endoscopy physicians with the same seniority.

All patients were examined and treated according to routine medical procedures. The routine colonoscopy group and the artificial-intelligence-assisted colonoscopy group made detailed records of the patients' withdrawal time, entry time, number of polyps detected, polyp Paris classification, polyp size, polyp shape, polyp location and intestinal preparation during the colonoscopy process

详细描述

This is a prospective randomized clinical study.This study was conducted in the Endoscopy Center of the Nanfang Hospital, China. Routine bowel preparation consisted of 4 L of polyethylene glycol, given in split doses. Colonoscopies were performed with high definition colonoscopes and high-definition monitors.

All subjects shall sign informed consent before screening, and subjects shall be included according to inclusion and exclusion criteria.

A total of four endoscopists were included in the study, two in each group of senior endoscopists (>1000 colonoscopies) and two in each group of junior endoscopists ( <1000 colonoscopies).

Patients were randomly enrolled into the senior endoscopy group and the junior endoscopy group, and received artificial intelligence assisted colonoscopy and conventional colonoscopy successively. The two colonoscopy methods were performed by different endoscopy physicians back to back with the same seniority.

All patients were examined and treated according to routine medical procedures (outpatient patients and inpatients who did not sign the consent form for polypectomy were not resected for the lesions detected during the examination, while inpatients who signed the consent form for polypectomy were left in the original position after the first colonoscopy and removed at the end of the second examination).

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
None

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

  • •Chinese population aged 18-80 years old; Patients voluntarily signed informed consent form; In accordance with the indications of colonoscopy.

排除标准

  • •(IBD) history of inflammatory bowel disease; History of colorectal surgery; Previous failed colonoscopy; Polyposis syndrome; Highly suspected colorectal cancer (CRC)

研究组 & 干预措施

Artificial intelligence assisted colonoscopy group

Experimental

The real-time automatic polyp detection system was used to assist the endoscopist.

干预措施: Artificial intelligence assisted colonoscopy (Device)

Routine colonoscopy group

No Intervention

The patient underwent routine colonoscopy.

结局指标

主要结局

Detection rate of small polyps (diameter < 6mm)

时间窗: 6 months

In each group, the number of patients with small polyps was detected as a percentage of the total number of patients.

次要结局

  • Number of polyps detected(6 months)
  • Polyp size(6 months)
  • Polyp morphology(6 months)

研究者

发起方
Side Liu
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Side Liu

professor

Nanfang Hospital, Southern Medical University

研究点 (1)

Loading locations...

相似试验