Adenoma, Colonic Polyp, Colorectal Neoplasms
Conditions
Keywords
adenoma detection rate
Brief summary
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
Detailed 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.
Interventions
DEVICECSK AI system
CSK system is equipped with the endoscopic mainframe and alarms the examiners when suspect lesions appear.
DEVICEStandard Colonoscopy
This is the routine examination in nowadays clinical practice. Both the equipment and the procedure are as usual as clinical routine.
Sponsors
Sixth Affiliated Hospital, Sun Yat-sen University
Shanghai Zhongshan Hospital
Tianjin People's Hospital
Tianjin Nankai Hospital
Changhai Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE
Intervention model description
CSK endoscopic diagnosis and treatment system a new system of artificial intelligence. It is manufactured by Tianjin Yujin Limited in China. It is equipped with the endoscopic mainframe and has the access to the endoscopic video and image. When lesion-like objects appear in the real-time video, the system will alarm the examiners by sound.
Eligibility
Sex/Gender
ALL
Age
45 Years to 80 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Adenoma detection rate, ADR | At the end of the procedure, up to 1 hour. | ADR refer to the rate of adenoma detection, calculated as the proportion of subjects with at least one adenoma. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Polyp detection rate, PDR | At the end of the procedure, up to 1 hour. | PDR refer to the rate of polyp detection, calculated as the proportion of subjects with at least one polyp. |
Countries
China
Outcome results
None listed