View clinical trials related to Colonic Polyps.
Filter by:This study will evaluate the safety and effectiveness of the CapsoCam Colon (CV-3) endoscope system for the detection of colonic polyps.
Colorectal carcinoma (CRC) is the third most common cancer in male and female worldwide. In India, it is the fourth most common cause of cancer in males and third most common cancer in female. Age, smoking, colonic adenomatous polyp, family history are traditional risk factor for CRC. The vast majority of CRC results from malignant transformation from adenoma, which is called as adenoma carcinoma sequence. These adenomatous polyps grows slowly over many years and malignant transformation eventually occurs over 10 years. So, the early detection and removal of polyp at early stage should benefit in preventing CRC.
Hypoxia is the most common adverse event during gastrointestinal endoscopes sedated with propofol and sufentanil, especially in obese people. In the present study, high-flow nasal cannula oxygenation will be utilized in order to reduce the incidence of hypoxia among obesity.
The aim of this study was to assess the performance of AI system in polypectomy
Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis. The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).
In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
This protocol describes a prospective cohort study. It addresses an important challenge in the prevention of colorectal cancer: how to safely and effectively remove large polyps.
Colorectal cancer is the third most common cancer in men and the second most common cancer in women.There are about 14 million cases of colonoscopy in the United States every year. In recent years, the incidence of colorectal cancer in China has risen sharply, becoming a serious threat to people's health.For small(≤ 9mm) lesions, endoscopic biopsy forceps and cold snare polypectomy can be used to remove.For larger lesions, especially laterally spreading tumor,endoscopic mucosal resection is a classic method of treatment.With the increasing diameter of the lesion size(> 20mm),we also need to adopt endoscopic piecemeal mucosal resection or endoscopic submucosal dissection. As IT, Hook knife, BB, and other devices appear constantly, foreign researchers recently adopted a variation of conventional EMR（CEMR）, namely endoscopic mucosal resection with circumferential precutting(EMR - P).The technology is superior to conventional EMR for 10 to 20 mm polyps.Moreover, preliminary studies suggest that it has good safety and efficacy, and may be a better method for treatment of 10-20mm polyps under colonoscopy. This clinical trial is being conducted to compare the efficacy and safety of two methods of polypectomy, CEMR and EMR-P, for 10-20mm colorectal polyps.
The use of acetic acid in the characterization of polyps, produces a homogeneous white staining in sessile serrated adenomas, but not in tubular or tubulo-villous adenomas, a simple approach to predict polyp histopathology. To determine the diagnostic accuracy of the use of acetic acid on tubular and serrated adenomas, during colonoscopy, a prospective diagnostic accuracy study was designed, taking as gold standard the pathological anatomy of the resected polyps. Polyps found during a colonoscopy with suspicion of sessile serrated adenomas or tubular/tubulo villous will be included.
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.