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Completed

NCT Number: NCT01262248

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

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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Key information

Conditions

Colorectal Polyps Metaplasia Neovascularization, Pathologic Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Medicine III, University Hospital Aachen (RWTH)

Aachen, 52074, Germany

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All patients who did not meet the exclusion criteria were included in the study

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

Treatment and study plan

Primary outcomes

  1. diagnostic value (sensitivity, specificity, negative predictive value, positive predictive value, accuracy)

    Time frame: 10 months

Secondary outcomes

  1. interobserver variability

    Time frame: 10 months

Sponsors and collaborators

Lead sponsor

Tischendorf, Jens, M.D.

Indiv

Registry information

Official study title

Computer-based Classification of Small Colorectal Polyps

Important dates

Study start
2010
Primary completion
2011
Study completion
2011
First posted
Dec 17, 2010
Registry last updated
Jun 16, 2011

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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