Computer-based Classification of Colorectal Polyps Using Narrow-band Imaging

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

434 participants

Study Classification

OBSERVATIONAL

Study Start Date

2010-05-31

Study Completion Date

2011-03-31

Brief Summary

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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.

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Detailed Description

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Conditions

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Colorectal Polyps

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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patients with colorectal polyps

No interventions assigned to this group

Eligibility Criteria

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Exclusion Criteria

* 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

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No