Colorectal Polyps
Conditions
Keywords
small colorectal polyps, narrow band imaging, vascularization, computer-based classification
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.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* All patients who did not meet the
Exclusion criteria
were included in the study
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| diagnostic value (sensitivity, specificity, negative predictive value, positive predictive value, accuracy) | 10 months |
Secondary
| Measure | Time frame |
|---|---|
| interobserver variability | 10 months |
Countries
Germany