Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04838951 |
Other study ID # |
2021.141 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 19, 2021 |
Est. completion date |
December 31, 2022 |
Study information
Verified date |
February 2023 |
Source |
Chinese University of Hong Kong |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The investigator's hypothesis is that a CADe system (ENDO-AID) would improve the adenoma
detection rate in junior endoscopists.
Description:
Colorectal cancer (CRC) is the most common and second most lethal cancer in Hong Kong with
more than 5,600 new cases and 2,300 deaths annually. Colonoscopy with polypectomy has shown
to reduce CRC-related mortality by 53%. However, high polyp miss rates were reported to be up
to 26% for adenomas and 9% for advanced adenomas in standard colonoscopies. Risk factors
included proximal location, serrate or flat lesions, poor bowel preparation and short
withdrawal time (<6 minutes). Insufficient trainee experience was also associated with a
higher adenoma miss rate. A significant proportion of interval CRC was attributed to the
missed lesions during index colonoscopy leading to adverse patient outcomes.
As a result, various techniques were developed to improve adenoma detection rate (ADR) during
colonoscopies. Techniques including water exchange method, second examination of the right
colon (retroflexion or second forward view)and cap/cuff-assisted colonoscopies were proven to
increase ADR effectively. However, these techniques were operator-dependent requiring certain
level of expertise.
Recently, artificial intelligence and computer-aided polyp detection (CADe) systems have
developed rapidly around the globe. These systems can provide real-time CADe by flagging the
suspected lesions to endoscopists, with the adoption of deep learning or convoluted neural
networks. A number of prospective randomized clinical trials reported a significant increase
in ADR in CADe group. The number of adenoma detected per colonoscopy was consistently higher
among different polyp sizes, location and morphology. The ADR increment was particularly
higher for diminutive adenomas smaller than 5mm.
Nevertheless, most of the aforementioned studies only involved senior endoscopists for the
procedures. Theoretically, the senior endoscopists were more skillful to expose colonic
mucosa and more experienced to distinguish the false positive computer signals, leading to an
enhanced performance of CADe in real-time colonoscopies. The effect of CADe on inexperienced
junior endoscopists performing colonoscopies remains largely unknown.
In this single-blind randomized study, the investigators aim to evaluate the effect of a new
CADe system (ENDO-AID) on adenoma detection and quality improvement in junior endoscopists.