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

NCT01262248 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 434

Last updated 2011-06-16

No results posted yet for this study

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.

Conditions

  • Colorectal Polyps

Sponsors & Collaborators

  • Tischendorf, Jens, M.D.

    lead INDIV

Principal Investigators

  • Jens Tischendorf, M.D. · Medical Department III, University Hospital Aachen (RWTH), Pauwelsstr. 30, 52074 Aachen

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2010-05-31
Primary Completion
2011-02-28
Completion
2011-03-31

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01262248 on ClinicalTrials.gov