MedTrace Logo

AI for Colorectal Polyp Detection in Endoscopy

NCT04339855 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2020-09-07

No results posted yet for this study

Summary

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.

Conditions

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

Interventions

OTHER

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.

Sponsors & Collaborators

  • Johannes Gutenberg University Mainz

    lead OTHER

Principal Investigators

  • Helmut Neumann, Prof. Dr. · Head of Interdisciplinary Endoscopy

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-02-01
Primary Completion
2020-08-31
Completion
2020-09-30

Countries

  • Germany

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04339855 on ClinicalTrials.gov