The Auxiliary Effect of Artificial Intelligence in the Detection of Precancerous Lesions in Proximal Colon Cancer: A Multicenter Randomized Controlled Study
Trial Snapshot
- Phase
- Not Applicable
- Status
- Not yet recruiting
- Sponsor
- Enrollment
- 1,200
- Locations
- 1
- Primary Endpoint
- Adenoma detection rate
Study Overview
Brief Summary
The investigators conducted a multicenter randomized controlled trial to explore the adjuvant effect of artificial intelligence in the detection of precancerous lesions in the proximal colon.This is a prospective, multicenter, single-blind, parallel randomized controlled trial.During the colonoscopy retraction process, the investigators aimed to compare the detection rates of proximal colon adenomas with and without the assistance of an AI(Artificial Intelligence) diagnostic device.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Prospective
Eligibility Criteria
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •1.Patients with symptoms such as abdominal pain, black stools, constipation, or diarrhea undergo colonoscopy for diagnostic purposes.
Exclusion Criteria
- •Those with inflammatory bowel disease, colorectal cancer and surgical history, as well as those with familial polyposis syndrome
- •Those with intestinal obstruction or malignant tumors
- •Patients with colorectal lesions that need to be treated in stages.
- •Other contraindications for colonoscopy examination.
Outcomes
Primary Outcomes
Adenoma detection rate
Time Frame: Day 1
The proportion of patients who have at least one adenoma detected during colonoscopy examination
Average adenoma detection rate
Time Frame: Day 1
The result is the number of adenomas detected by colonoscopy divided by the total number of colonoscopies performed.
Secondary Outcomes
No secondary outcomes reported
Investigators
Limian Er
The director of the Endoscopy Department of the Fourth Hospital of Hebei Medical University
Hebei Medical University Fourth Hospital