Colon Polyp
Conditions
Keywords
colon polyp, artificial intellegence, colonoscopy
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.
Interventions
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
Sponsors
Study design
Masking description
The patients were masked from being randomized to operator and endoscopic method
Intervention model description
Patients randomized to 4 arms: control with experienced operator, control with beginner operator, AI with experienced operator, AI with beginner operator
Eligibility
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| polyp detection rate | during endoscopy | the number of polyp detected during endoscopy |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| type of polyp | during endoscopy | the type of polyp detected during endoscopy |
Countries
Thailand