AI for Colorectal Polyp Detection in Endoscopy

NCT ID: NCT04339855

Last Updated: 2020-09-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

600 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-02-01

Study Completion Date

2020-09-30

Brief Summary

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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.

Detailed Description

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Conditions

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Focus of the Study is to Evaluate a New Developed Deep-learning Computer-aided Detection System in Combination With LCI for Colorectal Polyp Detection

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Interventions

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CAD with LCI for colorectal polyp detection

Polyps within fully recorded endoscopy videos with LCI mode, covering the whole spectrum of adenomatous histology, are used to evaluate the efficacy of CAD with LCI for polyp detection.

Intervention Type OTHER

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Johannes Gutenberg University Mainz

OTHER

Sponsor Role lead

Responsible Party

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Prof. Helmut Neumann

Director Interdisciplinary Endoscopy

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Helmut Neumann, Prof. Dr.

Role: PRINCIPAL_INVESTIGATOR

Head of Interdisciplinary Endoscopy

Locations

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University Hospital Mainz

Mainz, , Germany

Site Status

Countries

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Germany

Other Identifiers

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HN_01KR7Zt

Identifier Type: -

Identifier Source: org_study_id

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