Spots Global Cancer Trial Database for A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence

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Trial Identification

Brief Title: A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence

Official Title: A Single Center Study on the Effectiveness and Safety of Polyp Detection and Polyp Classification With Artificial Intelligence

Study ID: NCT04216901

Conditions

Colonic Diseases

Artificial Intelligence

Interventions

Endoscopists refer to AI for diagnosis

Study Description

Brief Summary: This is an artificial intelligence-based optical endoscopic polyp diagnosis system that can assist endoscopic doctors in diagnosing polyps and improve the quality of training in clinical Settings.

Detailed Description: Large sessile and laterally spreading colorectal lesions(LSLs) are increasingly encountered during colonoscopy. LSLs have an increased risk of harbouring invasive cancer and can be challenging to excise endoscopically. Wide-field endoscopic mucosal resection (WF-EMR) is widely used in treating LSLs. In the East, meanwhile endoscopic submucosal dissection (ESD) is the dominant technique due to its ability to achieve en bloc resection in over 80% of cases. Many papers have demonstrated that selective-esd has the highest economic benefit. The key is to find a reliable way to select.