Computer-assisted Detection of Colonic Polyps
- Conditions
- Colon Adenoma
- Registration Number
- NCT02838888
- Lead Sponsor
- Technical University of Munich
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 40
- Indication for colonoscopy
- age ≥ 40 years
- 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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Polyp detection 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.
- Secondary Outcome Measures
Name Time Method
Related Research Topics
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Trial Locations
- Locations (1)
II Medizinische Klinik am Klinikum rechts der Isar der Technischen Universität München
🇩🇪Munich, Bayern, Germany
II Medizinische Klinik am Klinikum rechts der Isar der Technischen Universität München🇩🇪Munich, Bayern, GermanyPeter Klare, MDContact+ 49 89 4140peter.klare@tum.deStefan von Delius, Prof.Contact+ 49 89 4140stefan_ruckert@yahoo.de