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

Computer-based Classification of Small Colorectal Polyps

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01262248
Enrollment
434
Registered
2010-12-17
Start date
2010-05-31
Completion date
2011-03-31
Last updated
2011-06-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Polyps

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

Tischendorf, Jens, M.D.
Lead SponsorINDIV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* All patients who did not meet the

Exclusion criteria

were included in the study

Design outcomes

Primary

MeasureTime frame
diagnostic value (sensitivity, specificity, negative predictive value, positive predictive value, accuracy)10 months

Secondary

MeasureTime frame
interobserver variability10 months

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026