View clinical trials related to Adenoma Detection Rate.
Filter by:Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.
This is a prospective equivalence colonoscopy study evaluating whether overall adenoma detection rate (ADR) is a reliable alternate for screening ADR. Overall indication includes screening, surveillance, and diagnostic indications.
To evaluate the impact of second forward view examination of the proximal colon on adenoma detection rate Inclusion criteria:Patients ≥18 years of age undergoing screening, follow-up monitoring, and diagnostic colonoscopy Exclusion criteria:①Cecal intubation failed. ②Have a history of colorectal surgery. ③Insufficient bowel preparation, inadequate bowel preparation quality (Boston Bowel Preparation Scale (BBPS)scores < 2 in any segment of the colon). ④Inflammatory bowel disease or intestinal tuberculosis. ⑤Familial polyp syndrome. ⑥polyp retrieval failure. ⑦Patients with coagulation dysfunction. Patients ≥ 18 years of age who came to our hospital's Digestive Endoscopy Center for screening, follow-up monitoring and diagnosis of colonoscopy. After successfully insert the cecum, colonoscope withdrawal to the splenic flexure, all polyps found during the withdrawal process were resection,then they were randomized to standard withdrawal colonoscopy or second forward view according to the random number table (1:1) to perform.
Colonoscopy is a key technique in the detection and diagnosis of lower gastrointestinal diseases. High quality endoscopy results in better disease outcomes. However, the operant level of different endoscopists is significantly different.This study aims to construct a real-time quality monitoring system based on computer vision, named Endo.Angel, which is used to monitor the velocity of insertion of the endoscope, record the time of insertion and withdrawal of the endoscope, and remind endoscopists of the blind areas caused by intestinal segment slipping.