NCT04339855

AI for Colorectal Polyp Detection in Endoscopy

Artificial Intelligence Combined With LCI for Colorectal Polyp Detection

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 600 (estimated)
• Sponsor: Johannes Gutenberg University Mainz · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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.

Timeline

• Start date: 2019-02-01
• Primary completion: 2020-08-31
• Completion: 2020-09-30
• First posted: 2020-04-09
• Last updated: 2020-09-07

Locations

1 site across 1 country: Germany