View clinical trials related to Colon Polyp.
Filter by:The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' baseline adenoma detection rate (ADR). The association between the AI derived EWT with ADR during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI
The goal of this clinical trial is to compare the detected adenoma per colonoscopy (APC) in participants undergoing screening, surveillance, and positive fecal immunochemical test (FIT) or guaiac fecal occult blood test (gFOBT). There will be two arms in this study: WE water control and water plus artificial intelligence (AI). The main question it aims to answer is whether the addition of AI into water exchange (WE) colonoscopy increases APC than WE alone. The control method will use water instead of air inserted into the colon. The study method will use a commercially available AI system plus water during the procedure. Researchers will compare APCs to see if the addition of AI increases detection of adenomas during WE colonoscopy.
Primary objective of the study is to evaluate if the novel virtual polyp sizing tool accuracy in determining the size class of polyps among diminutive (0-5 mm), small (6-9 mm) and large (10 mm and above).
Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
Hypoxia is the most common adverse event in gastrointestinal endoscopes sedated with propofol. The nasal mask oxygen kit has good sealing to ensure an adequate oxygen supply and is convenient and economical.The aim of this randomized study was to determine whether the nasal mask oxygen kit reduces the incidence of hypoxia in gastrointestinal endoscopes procedures.
The SPARC-C study is a prospective, single-centre observational study of patients referred for the management of large (≥ 20mm) non-pedunculated colorectal polyps (LNPCPs). Patients are managed consistent with current standards of care. Prospectively collected data includes: patient clinicodemographic details, lesion details, procedural details, and clinical outcomes.
The main goal of this trial is to validate a new method for colorectal polyp screening based on stool microbiome signatures. 600 Individuals who are scheduled / planned to undergo a colonoscopy will be recruited for this study and a stool sample and an optional saliva sample will be collected. Analyze process will be conducted on the microbiome of the samples given.
Evaluation of the colonic mucosa with a high definition colonoscope (EPKi7010 video processor). The endoscopy images will be seen on a 27inch, flat-panel, high-definition LCD monitor (Radiance™ ultraSC-WU27-G1520 model) only by one expert endoscopist, randomly assigned. The number, location, and polyps' features (Paris classification) will be recorded by the operator. If a polyp is detected, the endoscopist will remove the polyp endoscopically with a cold snare. The same patient will be submitted to a second, the same session, computed aided real-time colonoscopy using the DISCOVERY, AI-assisted polyp detector. Colonoscopy will be performed by a same-level-of-expertise operator in comparison to the initial procedure. Any polyp or lesion detected with the AI system will be recorded and endoscopically removed and considered as a missed lesion from standard colonoscopy.
Efficacy Evaluation of Enhanced Bowel Preparation Instructions in Elective Colonoscopy.
The purpose of this study is to assess whether the use of large screen during colonoscopy will increase adenoma detection rate.