View clinical trials related to Colonic Polyp.
Filter by:Background: Removal of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths. Recently, there have been much interest in the use of artificial intelligence (AI) platforms to augment the routine endoscopic assessment of the colon to enhance adenoma detection rate (ADR). To date, computer assisted detection of polyps (CADe) have been shown to be safe, with a significant increase in ADR, without any concomitant increase in post-procedural complications. Aims: The investigators aim to evaluate the use of GI GeniusTM Intelligent Endoscopy Module in a multi-ethnic Asian population (Singapore) to increase in ADR and adenoma detected per colonoscopy (ADPC)to justify its effectiveness as an adjunct in polyp detection and training for colonoscopy. Methods: This study will be a single-institution cohort study, conducted over a 2-year period. Sengkang General Hospital (SKH) does an estimated 12,500 colonoscopies per year, with an average of 1,040 colonoscopies performed every month. Thus, given the case volume, the investigators expect to detect differences in ADR amongst endoscopists if any during this study period. As part of the subgroup analysis, the investigators also aim to compare the ADR rates of trainee endoscopists with and without the GI GeniusTM Intelligent Endoscopy Module to ascertain its utility as an education tool/training adjunct
To conduct an single blinded, non-randomized, prospective, single center trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Consecutive patients referred for a screening, surveillance or diagnostic colonoscopy will be included
Management of unexpected malignant colorectal polyps removed endoscopically can be challenging due to the risk of residual tumor and lymphatic spread. International studies have shown that in patients choosing surgical management instead of watchful waiting, 54-82% of bowel resections are without evidence of residual tumor or lymphatic spread. As surgical management entails risks of complications and watchful waiting management entails risks of residual disease or recurrence, a clinical dilemma arises when choosing a management strategy. Shared decision making (SDM) is a concept that can be used in preference sensitive decision making to facilitate patient involvement, empowerment, and active participation in the decision making process. This is a clinical multicenter, non-randomized, interventional phase II study involving Danish surgical departments planned to commence in the first quarter of 2024. The aim of the study is to examine whether shared decision making and using a patient decision aid (PtDA) in consultations affects patients' choice of management compared with historical data. The secondary aim is to investigate Patient Reported Experience Measures (PREMs) and Patient Reported Outcome Measures (PROMs) using questionnaire feedback directly from the patients.
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.
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.
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.
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.