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

NCT01262248 | Completed

• 1 other identifier: Ti-NBI
• Study Type: observational
• Target: 434
• Locations: 1 country
• Sites: 1

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.

Conditions

Colorectal Polyps

Keywords

small colorectal polyps; narrow band imaging; vascularization; computer-based classification

Outcome Measures

Primary Outcomes (1)

• diagnostic value (sensitivity, specificity, negative predictive value, positive predictive value, accuracy)

  10 months

Secondary Outcomes (1)

• interobserver variability

  10 months

Study Arms (1)

patients with colorectal polyps

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

patients who underwent colonoscopy and colorectal polyps with a size of 10mm or smaller were detected

You may not qualify if:

• 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

Sponsors & Collaborators

• Tischendorf, Jens, M.D.: lead

Study Sites (1)

Department of Medicine III, University Hospital Aachen (RWTH)

Aachen, 52074, Germany

Location

Related Publications (2)

• Ignjatovic A, East JE, Suzuki N, Vance M, Guenther T, Saunders BP. Optical diagnosis of small colorectal polyps at routine colonoscopy (Detect InSpect ChAracterise Resect and Discard; DISCARD trial): a prospective cohort study. Lancet Oncol. 2009 Dec;10(12):1171-8. doi: 10.1016/S1470-2045(09)70329-8. Epub 2009 Nov 10.

  PMID: 19910250 BACKGROUND

• Tischendorf JJ, Schirin-Sokhan R, Streetz K, Gassler N, Hecker HE, Meyer M, Tacke F, Wasmuth HE, Trautwein C, Winograd R. Value of magnifying endoscopy in classifying colorectal polyps based on vascular pattern. Endoscopy. 2010 Jan;42(1):22-7. doi: 10.1055/s-0029-1215268. Epub 2009 Nov 6.

  PMID: 19899031 BACKGROUND

MeSH Terms

Conditions

Neovascularization, Pathologic

Condition Hierarchy (Ancestors)

Metaplasia; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Jens Tischendorf, M.D.

  Medical Department III, University Hospital Aachen (RWTH), Pauwelsstr. 30, 52074 Aachen

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: INDIV

Study Record Dates

• First Submitted: December 15, 2010
• First Posted: December 17, 2010
• Study Start: May 1, 2010
• Primary Completion: February 1, 2011
• Study Completion: March 1, 2011
• Last Updated: June 16, 2011

Record last verified: 2011-06

Locations

DE (1)