- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04339855
AI for Colorectal Polyp Detection in Endoscopy
September 3, 2020 updated by: Prof. Helmut Neumann, Johannes Gutenberg University Mainz
Artificial Intelligence Combined With LCI for Colorectal Polyp Detection
Linked color imaging (LCI) has shown its effectiveness in multiple randomized controlled trials for enhanced colorectal polyp detection.
Most recently, artificial intelligence (AI) with deep learning through convolutional neural networks has dramatically improved and is increasingly recognized as a promising new technique enhancing colorectal polyp detection.
Study aim was to evaluate a new developed deep-learning computer-aided detection (CAD) system in combination with LCI for colorectal polyp detection.
Study Overview
Status
Unknown
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
600
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Mainz, Germany
- University Hospital Mainz
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients ondergoing screeining or surveillance endoscopy
Description
Inclusion Criteria:
- Full endoscopy withdrawal videos with LCI of patients ondergoing screening or surveillance endoscopy
Exclusion Criteria:
- non adequate bowel preparation
- no full length withdrawal in LCI mode
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Colorectal polyp detection rate in comparison to traditional detection rate
Time Frame: 2019-2020
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2019-2020
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Helmut Neumann, Prof. Dr., Head of Interdisciplinary Endoscopy
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 1, 2019
Primary Completion (Anticipated)
August 31, 2020
Study Completion (Anticipated)
September 30, 2020
Study Registration Dates
First Submitted
April 7, 2020
First Submitted That Met QC Criteria
April 7, 2020
First Posted (Actual)
April 9, 2020
Study Record Updates
Last Update Posted (Actual)
September 7, 2020
Last Update Submitted That Met QC Criteria
September 3, 2020
Last Verified
September 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HN_01KR7Zt
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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