View clinical trials related to Colonic Polyp.
Filter by:CCIS is a novel score, created specifically to evaluate the completeness of caecal visualized. It can be applied to a single or multiple images. To create the CCIS, the caecum was divided into eight parts: the appendiceal orifice (AO), the tri-radiate fold part 1 (TF-1), 2 (TF-2), 3 (TF-3) and four outer quadrants (OQ 1-4). The ileo-caecal valve (ICV) is a reference point but is not part of the score. The quadrant adjacent to the ICV is labelled OQ1. The three other quadrants are labelled clockwise from this quadrant. The tri-radiate folds are also labelled clockwise with TF1 representing the triangle side that is majority-contained within OQ1. TF2 and TF3 are then labelled clockwise from TF1.
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 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.
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.
Adequate bowel preparation for colonoscopy is paramount for optimal diagnostic accuracy and safety. However, the need for high volumes to clean the colon often makes it difficult for patients to adhere to. Therefore, new low volume bowel preparation fluids have been developed. Little is known on the impact of these low volume bowel preparation fluids (1L), compared to intermediate-volume (2L) laxatives on quality of life (QoL) and cost-effectiveness. This study aims to provide further evidence on the presumed positive effect of ultra-low volume bowel preparation on patients' QoL and cost-effectiveness, in addition to its already demonstrated positive effect on bowel cleansing for colonoscopy. This multicenter randomized controlled trial (RCT) will be conducted in four hospitals in the Netherlands. Secure web-based questionnaires will be used before starting bowel preparation (baseline, t=0) and within 1 week (t=1) after colonoscopy, to assess the impact of bowel preparation on QoL and explore costs and productivity loss for cost-effectiveness analysis.
The use of clips to completely clip mucosal defects after ESD/EMR can reduce postoperative adverse events, but the rate of incomplete mucosal defects closure is high. The continuous suture technique can completely close the mucosal defects by using surgical sutures and clips to suture the mucosal defects after ESD/EMR. In this study, a clinical randomized controlled study was conducted in our hospital. A total of 62 enrolled patients were divided into two groups, 31 patients were set as a treatment group using continuous suture technique to close post-EMR/ESD mucosal/submucosal defects, the rest patients were set as a control group using clips. The safety and effectiveness of continuous sutures and clips to clamp the post-EMR/ESD mucosal/submucosal defect were compared in the two groups. The complete mucosal/submucosa defects closure rates were the primary outcome.
It is necessary to retrieve the resected polyp to determine the pathological nature of polyp and to judge the completeness of resection in polypectomy. For polyps with a larger diameter (>5mm), the most reliable way to retrieve them is to suck them out with the colonoscope. However, this method requires multiple colonoscope insertions, resulting in prolonged operation time and increased patient suffering. Therefore, clinicians often receive polyps by pressing the colonoscope suction valve. But it is difficult to receive polyps or even fail to receive. Even if the polyps were successfully received by this method, many polyps were fragmented. When the polyp is fragmented, the pathologist cannot be sure of the completeness of the polyp removal. By removing the colonoscope suction valve and connecting a polyp trap to suction onto the instrument channel port, the polyp fragmentation rate was reduced greatly. To further reduce the polyp fragmentation rate, while reducing the operation time and colon insertions, we applied the polyp receiving bag in colonoscopy operations. The primary purpose of this study is to evaluate the effectiveness of the application of the polyp retrieving bag to reduce the polyp fragmentation rate.
Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, with rates of CRC predicted to increase. Colonoscopy is currently the gold standard of screening for CRC. Artificial intelligence (AI) is seen as a solution to bridge this gap in adenoma detection, which is a quality indicator in colonoscopy. AI systems utilize deep neural networks to enable computer-aided detection (CADe) and computer-aided classification (CADx). CADe is concerned with the detection of polyps during colonoscopy, which in turn is postulated to help decrease the adenoma miss-rate. In contrast, CADx deals with the interpretation of polyp appearance during colonoscopy to determine the predicted histology. Prediction of polyp histology is crucial in helping Clinicians decide on a "resect and discard" or "diagnose and leave strategy". It is also useful for the Clinician to be aware of the predicted histology of a colorectal polyp in determining the appropriate method of resection in terms of safety and efficacy. While CADe has been studied extensively in randomized controlled trials, there is a lack of prospective data validating the use of CADx in a clinical setting to predict polyp histology. The investigators plan to conduct a prospective, multi-centre clinical trial to validate the accuracy of CADx support for prediction of polyp histology in real-time colonoscopy.
This is a post-marketing, single-arm, prospective study investigating the use of GI Genius CADx device in the real-time characterization of colorectal polyps (i.e. prediction of their histology during the colonoscopy). Patients enrolled will undergo a standard white-light colonoscopy with the support of the latest version of the CE-marked GI Genius CADx device. Colonoscopy will be performed according to the standard practice.
The global burden of colorectal cancer (CRC) incidence among young age groups is rising and overwhelming. This new trend of young-onset CRC incidence is evident in western countries. Unfortunately, Asian countries have shown the same epidemic shift in the past few years. As a consequence, this situation might necessitate revisiting the current screening program in this region. Saudi Arabia has a two-fold increase in CRC incidence among young age groups in the last 18 years (9.6/100000 for male versus 9.3/100000 for female). This rising incidence ascribed to the lack of a screening program and suggested lowering CRC screening to 40. The low awareness about risk factors, signs, and symptoms of the disease causes late presentation of CRC cases. Therefore, most presenting cases are associated with a poor prognosis and short survival. Educational and screening programs are, by no means, considered valuable and essential as CRC tends to affect younger age groups.