Colorectal Cancer Clinical Trial
Official title:
Randomized, Controlled Trial of Computer-Aided Detection Device in Standard Colonoscopy
The aim of this study is to evaluate the clinical benefit and safety of using an AI device in colonoscopy procedures with the indication of screening or surveillance.
Colorectal cancer is the second most common cause of cancer related mortality in the U.S.,
and affecting 150,000 people annually. Colonoscopy is the gold standard for the screening and
detection of colorectal polyps and cancers. Screening for colorectal cancer has been shown to
be effective in reducing both incidence and mortality. The capability of colonoscopy as an
effective screening tool is based on the accurate detection and removal of precancerous
polyps. However, it has been documented in several tandem colonoscopy studies that up to 28%
of colorectal polyps are missed. Detection and identification of adenomatous polyps is
provider dependent, as evidenced by the large variability in adenoma detection rates between
providers.
Additionally, procedural factors, such as poor bowel preparation, and histomorphological
qualities, such as those of serrated polyps, can impact a clinician's ability to detect and
characterize polyps. Iterative Scopes has developed a computer aided detection (CADe) or AI
model that can identify colorectal polyps in real-time during colonoscopy. The Iterative
Scopes AI model analyzes video digital images taken during endoscopy and then directs the
gastroenterologist's attention to areas of interest on the colon wall.
The purpose of this study is to evaluate the health benefits and safety in using the AI
device during screening and surveillance colonoscopy. One of the reasons for the development
of interval colorectal cancers is polyps missed during colonoscopy. Our hypothesis is that
with the aid of AI device, the adenomas detected per colonoscopy will increase, and it is
plausible to believe that this increase in detection could reduce the incidence of interval
cancers.
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