Comparison of The Adenoma Detection Rate Between Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision and Standard Colonscopy: A Randomized Controlled Study

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 40
Healthy Volunteers: f
View:

• Patients over 20 years old are undergoing outpatient sedative colonoscopy in the E-Da Hospital, E-Da cancer Hospital and Chung Shan Medical University Hospital in Taiwan

Locations
Other Locations
Taiwan
E-DA Hospital
RECRUITING
Kaohsiung City
Contact Information
Primary
Ying Nan Tsai, MD
littlepig9933@gmail.com
+88676150022
Backup
Wen-Lun Wang, Ph.D
warrengodr@gmail.com
+88676150022
Time Frame
Start Date: 2023-05-02
Estimated Completion Date: 2026-12-31
Participants
Target number of participants: 1000
Treatments
Active_comparator: Artificial Intelligence-assisted Colonoscopy with Endocuff Vision
Use artificial intelligence-assisted colonoscopy with Endocuff Vision
Active_comparator: Artificial Intelligence-assisted Colonoscopy
Use artificial intelligence-assisted colonoscopy alone
Sham_comparator: Standard colonoscopy
Use standard colonoscopy without artificial intelligence-assisted colonoscopy or Endocuff Vision
Related Therapeutic Areas
Sponsors
Collaborators: Chung Shan Medical University
Leads: E-DA Hospital

This content was sourced from clinicaltrials.gov