Computer-aided Detection of Colorectal Polyps

University of Erlangen-Nürnberg Medical School

Status: Unknown

Conditions: Polyp of Colon; Adenoma Colon

Treatments: Device: Artificial Intelligence System for Detection of colorectal polyps

Study type: Observational

Funder types: Other

Identifiers

NCT04359355

CAID

Details and patient eligibility

About

In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.

Full description

During standard colonoscopy, a substantial number of colorectal polyps can be missend. As shown in a recent meta-analysis, miss rates for adenomas can reach up to 26%. In this study, it is tested whether an artificial intelligence system that highlights colorectal polyps during screening or surveillance colonoscopy in real time can lead to an increased detection of colorectal polyps during the examination.

Enrollment: 40 estimated patients

Sex: All

Ages: 18 to 85 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Screening or surveillance colonoscopy

Exclusion criteria

• known or suspected inflammatory bowel disease
• uncontrolled coagulopathy
• known polyps or referral for polypectomy

Trial design

40 participants in 1 patient group

Artificial Intelligence

Treatment:

Device: Artificial Intelligence System for Detection of colorectal polyps