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

T

Tischendorf, Jens, M.D.

Status

Completed

Conditions

Colorectal Polyps

Study type

Observational

Identifiers

NCT01262248
Ti-NBI

Details and patient eligibility

About

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.

Enrollment

434 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

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

Trial design

434 participants in 1 patient group

patients with colorectal polyps

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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