About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
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.
Trial population
Patients with symptoms such as abdominal pain, black stools, constipation, or diarrhea
Trial design
Case-control
Prospective
Treatments tested in this trial
AI group
Procedure/SurgeryFull AI assistance was used throughout the standard colonoscopy procedure.
Serial group
Procedure/SurgeryAfter normal withdrawal of the colonoscope to the splenic flexure during standard colonoscopy, full AI assistance was initiated. The colonoscope was re-entered to the ileocecal region for observation. Any missed lesions were recorded.
Standard colonoscopy group
Procedure/SurgeryThe standard colonoscopy procedure was performed as usual
Treatment groups
Trial outcomes
Primary outcomes
Adenoma detection rate
The proportion of patients who have at least one adenoma detected during colonoscopy examination
Average adenoma detection rate
The result is the number of adenomas detected by colonoscopy divided by the total number of colonoscopies performed.
Sponsors and contacts
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Limian Er
Lead sponsor
Hebei Medical University Fourth Hospital
Sponsor institution
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