Effectiveness of Artificial Intelligence-Assisted Colonoscopy for Adenoma Detection in Routine Clinical Practice : a Prospective Multicenter Randomized Trial

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age40-74
SponsorZhejiang University

About this trial

This study is a multi-center, randomized controlled trial designed to evaluate whether an artificial intelligence (AI) system can assist endoscopists to improve the detection rate of colorectal adenomas and cancers during colonoscopy compared to standard colonoscopy. Early screening and diagnosis are key to reducing the burden of colorectal cancer, but current colonoscopy has limitations, including the risk of missed lesions. This trial aims to determine if AI can enhance screening quality and diagnostic accuracy.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Age 40 to 74 years, inclusive; men and women.

Scheduled for elective screening, diagnostic, or surveillance colonoscopy.

In generally good condition, mentally competent, and willing to provide written informed consent.

Disqualifiers

Known contraindication to colonoscopy or to biopsy.

History of colon cancer or previous colonic surgery.

Bowel obstruction; confirmed or highly suspected colorectal cancer; inflammatory bowel disease; or active colorectal bleeding.

Colorectal polyposis, including a history of familial adenomatous polyposis.

Trial design

Design model

Parallel

Treatments tested in this trial

  • AI-Assisted Colonoscopy

    Device

    High-definition colonoscopy procedure with a real-time video analyzed artificial intelligence system.

Treatment groups

3,300 Participants
are divided into 2 treatment groups
Group A: Experimental: AI-Assisted ColonoscopyExperimental treatment 1 intervention
Group B: Control: Conventional ColonoscopyNo intervention 0 interventions

Trial outcomes

Primary outcomes

1

Adenoma Detection Rate (ADR)

The proportion of participants with at least one histologically confirmed colorectal adenoma or adenocarcinoma. Detection and specimen collection occur during the colonoscopy, with final confirmation based on pathology reports.

Time frame
From the day of the procedure up to 14 days post-procedure.

Secondary outcomes

1

Mean Adenomas Per Colonoscopy (APC)

The mean number of histologically confirmed adenomas detected per participant. The number of polyps is counted during the procedure, but confirmation of adenoma status depends on pathology.

Time frame
From the day of the procedure up to 14 days post-procedure.
2

Advanced adenoma detection rate

The proportion of participants with at least one histologically confirmed advanced adenoma, defined as an adenoma at least 10 mm in diameter, or with high-grade dysplasia, or with a villous component.

Time frame
From the day of the procedure up to 14 days post-procedure.
3

Serrated lesion detection rate

The proportion of participants with at least one histologically confirmed flat serrated lesion, including sessile serrated lesions with or without dysplasia and traditional serrated adenomas. Hyperplastic polyps are reported separately.

Time frame
From the day of the colonoscopy up to 14 days after the procedure.
4

Patient Satisfaction Score

Assessed using a 5-point Likert scale questionnaire evaluating examination comfort and acceptance of the AI system (1=very unsatisfied, 5=very satisfied).

Time frame
Assessed within 1 hour after completion of the colonoscopy procedure.

Other outcomes

Sponsors and contacts

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