NCT03967756

Impact of Automatic Polyp Detection System on Adenoma Detection Rate

Impact of Automatic Polyp Detection System on Adenoma Detection Rate-a Multicenter,Prospective, Randomized Controlled Trial

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 1,118 (estimated)
• Sponsor: Changhai Hospital · Academic / Other
• Sex: All
• Age: 40 Years – 85 Years
• Healthy volunteers: Not accepted

Summary

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Conditions

• Colonic Polyps
• Colorectal Adenomas

Interventions

Type	Name	Description
DEVICE	Automatic polyp detection system	When colonoscopists withdraw the colonoscopies and inspect the colons, the video streaming of colonoscopies was real-time switched to the automatic polyp detection system, which made it feasible to detect lesions in real time. When any potential polyp is detected by the system， there will be a tracing box on an adjacent monitor to locate the lesion with a simultaneous sound alarm.

Timeline

• Start date: 2019-06-01
• Primary completion: 2021-07-20
• Completion: 2021-10-01
• First posted: 2019-05-30
• Last updated: 2021-04-06

Locations

1 site across 1 country: China