MedPath

Virtual Chromoendoscopy for Distal Polyps

Completed
Conditions
Colorectal Polyps
Interventions
Other: Prediction of histology
Registration Number
NCT02217449
Lead Sponsor
University of Erlangen-Nürnberg Medical School
Brief Summary

To assess the accuracy of predicting histology with virtual chromoendoscopy for distal colorectal polyps according to the ASGE PIVI statement.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
230
Inclusion Criteria
  • Written informed consent
  • Screening or surveillance colonoscopy
Exclusion Criteria
  • history of inflammatory bowel disease
  • poor bowel preparation
  • colectomy
  • anticoagulation
  • polyposis syndrome

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
HDPrediction of histologyPrediction of histology
Virtual ChromoendoscopyPrediction of histologyPrediction of histology
Primary Outcome Measures
NameTimeMethod
Effectivity of virtual chromoendoscopy3 years

Upon visualization of a polyp in white-light, the location and size (as compared to open biopsy forceps or snare) are noted. Afterwards, virtual chromoendoscopy is used to visualize and enhance the mucosal vascular pattern and the mucosal surface pattern morphology of the polyp. The endoscopist makes a real time assessment of each polyp according to size, shape, Paris classification and surface characteristics including pit pattern and mucosal vascular pattern morphology, colour, and type of depression. Further, the endoscopist is assigning a level of confidence (high or low) to each real time prediction. Afterwards, all polyps are resected using standard techniques and processed for pathological evaluation. Each polyp is assessed by an experienced GI pathologist blinded to the real time prediction of polyp histology. Finally, real time and histological results are compared.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University Hospital Erlangen

🇩🇪

Erlangen, Germany

© Copyright 2025. All Rights Reserved by MedPath