Adenoma Detection Rate Using AI System in China (SinoAIADR)

Naval Military Medical University

Status

Completed

Conditions

Colonic Polyp

Colorectal Neoplasms

Adenoma

Treatments

Device: CSK AI system

Device: Standard Colonoscopy

Study type

Interventional

Funder types

Other

Identifiers

NCT03840590

SINOCOLO2019B

Details and patient eligibility

About

The primary aim of this study is

to explore the usefulness of Artificial Intelligence system in colonoscopy on adenoma detection rate (ADR). Other aims include to explore the data below when Artificial Intelligence is used.

Mean adenomas detected per procedure, MAP Proximal Adenoma detection rate, pADR Polyp detection rate, PDR Proximal polyp detection rate, pPDR Mean polyps detected per procedure, MPP Withdrawal time, WT Cecal intubation rate, CIR Cecal intubation time, CIT

Full description

Colorectal cancer is common in China. Most colorectal cancers happen when an adenoma becomes cancerous. Doctors use colonoscopy to look inside the colon and rectum and find adenomas and remove them. Removing adenomas is known to reduce the chances of a person developing colorectal cancers. The ability of colonoscopists finding adenomas varies, and there is a lot of researches into how to improve "adenoma detection rates".

A new AI system, called the CSK endoscopic diagnosis and treatment system has been designed to improve the rate of polyp detection at colonoscopy. Previous tests have shown that there is a significant improvement in detection of adenomas when the system is used. This study will randomize patients coming for colonoscopy to have their procedure performed as usual or as an AI-assisted colonoscopy. The investigators will record polyp and adenoma detection rates, duration of procedure, participant comfort levels, and complications. All patients referred for colonoscopy will be invited in 4 centers, recruiting a total of 800 participants.

Enrollment

743 patients

Sex

All

Ages

45 to 80 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

All patients referred for screening, surveillance, or diagnostic colonoscopy
All patients must be able to give informed consent

Exclusion criteria

Patients with any absolute contraindications to colonoscopy
Patients with established or suspicion of large bowel obstruction or pseudo-obstruction
Patients with known colon cancer or polyposis syndromes
Patients with known colonic strictures
Patients with known severe diverticular segments (that is likely to impede colonoscope passage)
Patients with active colitis (ulcerative colitis, Crohn's colitis, diverticulitis, infective colitis)
Patients lacking capacity to give informed consent
Pregnancy
Patients who are on clopidogrel, warfarin, or other new generation anticoagulants who have not stopped this for the procedure.
Patients who are attending for a therapeutic procedure or assessment of a known lesion