The Value of Polyp Surface Pattern Recognition in the Identification of Neoplasia: a Prospective Study
Polyp Surface Pattern Recognition in the Identification of Neoplastic Polyps
1 other identifier
observational
260
1 country
1
Brief Summary
It is current practice to remove any polyps found during colonoscopy. This is because adenomatous polyps have the potential to turn into cancer. However, a proportion of polyps \<10mm in size are hyperplastic, which cannot turn into cancer. Current practice requires these to be removed, as it is traditionally felt that they cannot be separated clinically from adenomas. This increases the risk of perforation and results in a significant cost in processing the samples. However, it has been suggested that it is possible to differentiate neoplastic from non neoplastic lesions using skills in polyp surface pattern recognition. If this is the case the investigators may be able to reduce the need for polypectomy The investigators believe that it is possible to tell the difference between polyps with cancerous potential and those that are harmless by assessment of surface patterns. This may enable us to improve the investigators clinical decisions when assessing polyps during colonoscopy, and reduce the number of unnecessary polypectomys being performed.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2009
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2009
CompletedFirst Submitted
Initial submission to the registry
August 12, 2010
CompletedFirst Posted
Study publicly available on registry
August 17, 2010
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2010
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2010
CompletedApril 10, 2023
April 1, 2023
10 months
August 12, 2010
April 6, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The accuracy of predicted in-vivo polyp histology
9 months
Secondary Outcomes (7)
• Sensitivity of white light endoscopy in predicting histology
9 months
specificity of white light endoscopy in predicting histology
9 months
Sensitivity of Chromoendoscopy in predicting histology
9 months
Specificity of Chromoendoscopy in predicting histology
9 months
Sensitivity of fujinon intelligent color enhancement (FICE) in predicting histology
9 months
- +2 more secondary outcomes
Study Arms (1)
In vivo diagnosis
Patients undergoing colonoscopy where one or more polyps up to 10mm in size are found.
Interventions
examination of the surface patterns of polyps using FICE and indigo carmine dye spray
Eligibility Criteria
Patients undergoing colonoscopy where one or more polyps are found.
You may qualify if:
- Patients found to have polyps up to 10 mm in size
You may not qualify if:
- Patient preference Clinicians judgement Obvious cancers Ulcerated polyps
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Portsmouth Hospitals NHS trust
Portsmouth, Hampshire, PO6 3LY, United Kingdom
Biospecimen
All polyps are sent for histological analysis as per standard protocol. This is not additional for the study and part of routine NHS practice. They will be kept and stored as per standard NHS protocols.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Pradeep Bhandari, MBBS,MD,MRCP
Consultant gastroenterologist
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 12, 2010
First Posted
August 17, 2010
Study Start
December 1, 2009
Primary Completion
September 30, 2010
Study Completion
September 30, 2010
Last Updated
April 10, 2023
Record last verified: 2023-04