Artificial Intelligence, Colonoscopy, Quality Control
Conditions
Brief summary
To investigate the degree of the real-time detection and classification system for increasing the adenoma detection rate during colonoscopy.
Interventions
DIAGNOSTIC_TESTDeFrame
The DeFrame system is applicated during colonoscopy. The DeFrame system superimposes a rectangular box on the polyp lesion area in the colonoscopy field of view, notifying the endoscopists of the presence of the lesion.
DIAGNOSTIC_TESTClassified DeFrame
The Classified DeFrame system is applicated during colonoscopy. The Classified DeFrame system superimposes a rectangular box on the polyp lesion area in the colonoscopy field of view, the color of the rectangle box will turn blue when the polyp is considered as an adenoma, notifying the endoscopists of the presence of the lesion.
DIAGNOSTIC_TESTconventional colonoscopy
conventional colonoscopy
Sponsors
Loudi Central Hospital
Xiangya Hospital of Central South University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
Yes
Inclusion criteria
Aged 18 to 85 years old. Colonoscopies for primary CRC screening of the subjects are required.
Exclusion criteria
History of CRC,inflammatory bowel disease, previous colonic resection, antithrombotic therapy precluding polyp resection.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| adenoma detection rate | up to 9 months | Percentage of patients who have 1 or more histologically confirmed adenoma resected divided by the total number of colonoscopies. |
| adenomas per colonoscopy | up to 9 months | Total number of histologically confirmed adenomas resected divided by the total number of colonoscopies. |
Countries
China
Outcome results
None listed