Background and aims
Improving the rate of polyp detection is an important measure to prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through deep learning methods, can learn and perform specific endoscopic tasks previously performed by endoscopists. The purpose of this study was to explore whether a high-performance, real-time automatic polyp detection system could improve the polyp detection rate (PDR) in the actual clinical environment.
Methods
The selected patients underwent same-day, back-to-back colonoscopies in a random order, with either traditional colonoscopy or artificial intelligence (AI)-assisted colonoscopy performed first by different experienced endoscopists (> 3000 colonoscopies). The primary outcome was the PDR. It was registered with clinicaltrials.gov. (NCT047126265).
Results
In this study, we randomized 150 patients. The AI system significantly increased the PDR (34.0% vs 38.7%, p < 0.001). In addition, AI-assisted colonoscopy increased the detection of polyps smaller than 6 mm (69 vs 91, p < 0.001), but no difference was found with regard to larger lesions.
Conclusions
A real-time automatic polyp detection system can increase the PDR, primarily for diminutive polyps. However, a larger sample size is still needed in the follow-up study to further verify this conclusion.
Trial Registration
clinicaltrials.gov Identifier: NCT047126265
To overcome difficulties in the removal of duodenal bulb lesions, especially those in anatomically challenging locations, we developed the endoscopic resection via antral submucosal tunneling (ERAST) technique. In this study, we evaluated the feasibility and safety of ERAST for the removal of superficial and subepithelial lesions in the duodenal bulb. This was a single‐center retrospective study of 10 patients with lesions in the bulb. Submucosal tunneling from the gastric antrum to the duodenum was performed to facilitate en bloc tumor resection in the bulb. The en bloc resection rate, postoperative bleeding, and perforation were the primary endpoints. Ten lesions (four superficial and six subepithelial), with an average size of 19.1 ± 9.2 mm, were resected en bloc by ERAST. Esophagogastroduodenoscopy follow‐up after 2 months indicated complete wound healing in all patients. In our primary experience, ERAST was found to be a feasible and safe endoscopic resection technique for the removal of lesions in the duodenal bulb, especially those that are difficult to access.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.