Artificial Intelligence in Image Recognition of Pouchoscopies in Patients With Restorative Proctocolectomy (PouchVision)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Daniel Schmitz, PhD
- Phone Number: +496214245575
- Email: d.schmitz@theresienkrankenhaus.de
Study Contact Backup
- Name: Peter Kienle, PhD
- Phone Number: +496214244252
- Email: p.kienle@theresienkrankenhaus.de
Study Locations
-
-
BW
-
Mannheim, BW, Germany, 68165
- Theresienkrankenhaus und St. Hedwigkliniken GmbH
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
• All patients aged ≥ 18 years with inflammatory bowel disease and status after restorative proctocolectomy with ileoanal pouch who had received a pouchoscopy
Exclusion Criteria:
• Very poor endoscopic image quality
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Restorative colectomy with ileoanal pouch
Patients with restorative colectomy with ileoanal pouch who receive pouchoscopy for detection of pouchitis or neoplasm
|
The aim of this study is to develop an image recognition algorithm that reliably detects the different graduations of pouch inflammation and neoplasms in the pouch
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
AI versus endoscopist
Time Frame: Immediately after application of AI algorithm or after assessment of the endoscopic image by the endoscopist
|
Detection of pouchitis by AI versus assessment by endoscopist in pouchoscopy
|
Immediately after application of AI algorithm or after assessment of the endoscopic image by the endoscopist
|
|
AI versus pathologist
Time Frame: Immediately after application of AI algorithm or after assessment of the microscopic image of the pouch biopsy by the pathologist
|
Detection of pouchitis by AI versus pathologist in pouchoscopy
|
Immediately after application of AI algorithm or after assessment of the microscopic image of the pouch biopsy by the pathologist
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Daniel Schmitz, PhD, Theresienkrankenhaus Mannheim, University of Heidelberg
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- PouchVision1.0
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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