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Computer-assisted Detection of Colonic Polyps

Conditions
Colon Adenoma
Interventions
Device: Automatic polyp detection software
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
Inclusion Criteria
  • Indication for colonoscopy
  • age ≥ 40 years
Exclusion Criteria
  • 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
Arm && Interventions
GroupInterventionDescription
Routine colonoscopy CohortAutomatic polyp detection softwarePatients receiving routine colonoscopy at the study site
Primary Outcome Measures
NameTimeMethod
Polyp detectionup 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
NameTimeMethod

Trial Locations

Locations (1)

II Medizinische Klinik am Klinikum rechts der Isar der Technischen Universität München

🇩🇪

Munich, Bayern, Germany

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