View clinical trials related to Colonic Polyps.
Filter by:This is a prospective, multicenter, randomized study to evaluate the clinical performance of a novel CADe device, WISE VISION® Endoscopy System, in patients undergoing high-definition white light (HDWL) colonoscopy for screening or surveillance of colorectal Cancer (CRC). Eligible subjects who meet the study inclusion/exclusion criteria will be randomized in a 1:1 ratio to undergo colonoscopy : - Experimental: CADe colonoscopy procedure with WISE VISION® Endoscopy (CADe Group) - Control: Standard Colonoscopy without CADe (Standard Colonoscopy Group)
This is a prospective randomized placebo-controlled trial to evaluate the efficacy of peppermint oil spraying into the colonic lumen through the scope channel during screening colonoscopy. The primary outcome is to compare the colonic peristalsis between peppermint oil and placebo. The secondary outcomes compare the procedural time, polyp detection rate, adenoma detection rate, and adverse events.
The accuracy of endoscopic optical diagnosis for colorectal polyps has been approaching histological diagnosis after implementation of image enhancement endoscopic technologies. The real-time notification of possible nature of resected polyp after colonoscopy is expected to reduce the anxiety and depression level of the patients before the availability of histological diagnosis and improve their quality of life. We designed and conducted a randomized control trial to confirm this hypothesis.
Size of colorectal polyps is important to decide on appropriate surveillance intervals and treatment modality, as well as carrying out optical diagnosis strategies. However, polyp size measurement is often prone to inter-observer variability. An easy and accurate tool to assist in polyp size measurement is required. Recently, a virtual scale function for size measurement during endoscopy (SCALE EYE), operating in real-time without the use of any additional devices, has been developed. The aim of this study is to assess whether use of the SCALE EYE for polyp size measurement can reduce inter-observer variability.
The endoscopist performances in the optical diagnosis (OD) of colonic polyps with the available technologies vary widely across centers and across endoscopists. The OD process is strictly related to the operator training and expertise. Most of the available studies in optical characterization have been carried out by expert endoscopist in tertiary high volume centers, and weren't replied on large unselected populations. For these reasons, at the moment the optical characterization of polypoid lesions can't replace, in the everyday clinical practice, the histopathological evaluation of resected polyps. Artificial intelligence (AI)-based systems have the potential to make optical characterization process of colonic polyps easier and more reliable, thus supporting the endoscopist in the application of leave-in-situ and of resect-and-discard strategies. The implementation of such strategies would lead to a significant economic saving and a decrease of risks and complications related to unnecessary polypectomy. GI-Genius System (Medtronic Inc, Minneaopolis, USA) is a CNN-based algorithm allowing an automatic OD of colonic polyps. This system does not require dedicated light setting for polyp evaluation as it works with white light high definition images, which are the actual standard in every endoscopic unit. During colonoscopy, when a polyp is framed within the screen, a green detection box surrounds the polyp and the system automatically provides (whenever possible) the optical diagnosis labeling the polyp as "adenoma or non-adenoma". When the automatic polyp charaterization is unfeasible the label "no prediction" appears. Nowadays only few data about the feasibility and performances of this system in clinical practice are available. In addition published studies are mostly focused on technical rather thann clinical issues. The present prospective observational trial is primarily aimed at evaluating the diagnostic accuracy of optical characterization of colonic polyps <= 1 cm using GI-Genius System in daily clinical practice, having histopathology examination as reference standard.
Currently, hemorrhage remains the most common postoperative complication in patients with colon polyps, with an incidence of approximately 1.5%. The main reasons for postoperative hemorrhage are: the patient's own condition, the nature of the polyp and the operation. The number of patients treated for colon polyps has increased, postoperative care is confusing, medical resources are wasted, and the time span for postoperative diet recovery is large. However, studies on the effect of postoperative dietary recovery timing on postoperative polyp bleeding are rare.
Patients with constipation are more likely to have poor bowel preparation quality due to slow gut motility and poor emptying ability. Gum chewing, as a proxy of sham feeding, is a very simple way used to accelerate gut motility. And a previous study found that enhanced instructions by WeChat could improve bowel preparation quality. Thus, investigators conducted a single-center randomized controlled trial to explore the effect of chewing gum combined with manual enhanced instructions by WeChat on the bowel preparation quality for colonoscopy in patients with constipation.
Colonoscopy completion by caecal intubation seldom represents a significant effort for the endoscopist. In this situation, additional techniques are necessary to achieve this goal: patients' manual abdominal compression, postural changes, and endoscopist relay. To date, no tool allows colonoscopy technical difficulty grading. This study pursues to describe the frequency of additional techniques for caecal intubation in a large sample of Argentinians in different centres who undergo colonoscopy for attending purposes, to develop a novel score for assessing colonoscopy technical difficulty.
The purpose of this study is to compare the effectiveness of three standard of care outreach approaches (i.e., mailed letter, secure message, and telephone call) on patient adoption of the new 10-year colonoscopy surveillance interval recommendation for a random sample of health plan members who have a now-outdated 5-year surveillance interval due to a finding of 1-2 small adenomas at their prior colonoscopy. The primary study endpoint is the proportion of patients in each outreach arm who adopt the new 10-year colonoscopy surveillance interval.
The aim of this study is to investigate if the use of artificial intelligence (AI) in colonoscopy improves the polyp detection rate, and if the use of AI has a learning effect.