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临床试验/NCT02838888
NCT02838888Unknown不适用

Computer-assisted Detection of Colonic Polyps

Technical University of Munich1 个研究点 分布在 1 个国家目标入组 40 人开始时间: 2016年7月最近更新:
适应症

试验速览

阶段
不适用
发起方
入组人数
40
试验地点
1
主要终点
Polyp detection

研究概览

简要总结

Screening colonoscopy is considered the gold standard for adenoma detection in the colon. However, it has been shown that a considerable number of polyps can be missed during screening colonoscopy. Until now the endoscopist himself is responsible for the detection of adenomatous polyps. No automatic tools are available supporting the colonoscopist to detect lesions. Recently, a computer program was developed that can be used to recognize and extract suspicious structure from colonoscopy video sequences. The program was built to automatically detected colonic polyps and to highlight the polyps by colour marking. The program was now refined so that the respective structures can be highlighted during real time colonoscopy. The aim of this feasibility study is to test whether the software is applicable during real time colonoscopy.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
40 Years 至 90 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Indication for colonoscopy
  • age ≥ 40 years

排除标准

  • American Society of Anesthesiologists class IV or higher
  • pregnant women
  • indication for colonoscopy: inflammatory bowel disease
  • indication for colonoscopy: polyposis syndrome
  • indication for colonoscopy: emergency colonoscopy e.g. acute bleeding

结局指标

主要结局

Polyp detection

时间窗: up to 2 weeks (participants will be followed for the duration of hospital stay or outpatient treatment, an expected average of 2 weeks)

After obtaining the histopathological diagnosis of resected polyps (approximately 3 days - 2 weeks) it can be determined whether the resected specimen contained polyp histology or not.

次要结局

未报告次要终点

研究者

发起方
Technical University of Munich
申办方类型
Other
责任方
Sponsor

研究点 (1)

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