Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience

Not Applicable

Recruiting

• Conditions: Colon Polyp

• Registration Number: NCT05990218
• Lead Sponsor: Rajavithi Hospital

Brief Summary

Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.

Detailed Description

Not available

Study Timeline

• Study Start: 2023-02-13
• Study First Submitted: 2023-08-06
• Study First Submitted QC: 2023-08-06
• Study First Posted: 2023-08-14
• Status Verified: 2024-12
• Last Update Submitted: 2024-12-09
• Last Update Posted: 2024-12-13
• Primary Completion: 2026-02-12
• Study Completion: 2026-02-28

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 240

Inclusion Criteria

• participants age 40-80 years

Exclusion Criteria

• History of colonic surgery (except appendectomy)
• Lower gastrointestinal bleeding
• unstable vital sign during endoscopy of pregnancy
• history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
polyp detection rate	during endoscopy	the number of polyp detected during endoscopy

Secondary Outcome Measures

Name	Time	Method
type of polyp	during endoscopy	the type of polyp detected during endoscopy

Trial Locations

Locations (1)

Rajavithi Hospital; 🇹🇭 Bangkok, Thailand