Computer-based Classification of Colorectal Polyps Using Narrow-band Imaging
- Conditions
- Colorectal Polyps
- Registration Number
- NCT01262248
- Lead Sponsor
- Tischendorf, Jens, M.D.
- Brief Summary
Recent studies have shown that narrow-band imaging (NBI) is a powerful diagnostic tool for the differentiation between neoplastic and non-neoplastic colorectal polyps. The aim of the present study is to develop and evaluate a computer-based method for automated classification of small colorectal polyps on the basis of vascularization features.In a prospective study 207 polyps with a size of 10mm or smaller should be detected by a zoom NBI colonoscopy. These polyps were imaged and subsequently removed for histological analysis. the polyp images were analyzed by a computer algorithm. The proposed computer-based method consists of several steps: preprocessing, vessel segmentation, feature extraction and classification. The results of the automatic classification (sensitivity, specificity, negative predictive value, positive predictive value and accuracy)were compared to those of human observers, who were blinded to the histological gold standard.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 434
- All patients who did not meet the exclusion criteria were included in the study
- Patients with chronic inflammatory bowel disease, adenomatosis coli, coagulopathy, insufficient bowel preparation, or previous colonoscopy within the last 3 years; age under 18 years; no written informed consent for participation in the study
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method diagnostic value (sensitivity, specificity, negative predictive value, positive predictive value, accuracy) 10 months
- Secondary Outcome Measures
Name Time Method interobserver variability 10 months
Trial Locations
- Locations (1)
Department of Medicine III, University Hospital Aachen (RWTH)
🇩🇪Aachen, Germany