View clinical trials related to Colorectal Polyp.
Filter by:Endogenous breath VOCs (Volatile Organic Compounds) are present in various excreted biological materials (urine, blood, faeces an breath) and their analysis offers a possibility for cancer screening. Some of these VOCs are reversed in the venous blood stream and reach the lung alveoli where some of them are exhaled. Colorectal cancer (CRC) is one of the commonest tumours and is an important cause of cancer-related mortality. Colonoscopy is the gold standard for the diagnosis of CRC. Screening with fecal immunochemical test (FIT) is associated with a 13-18% CRC-mortality reduction. Aim of the study To compare the reliability of this breath analysis with Immunochemically-based Fecal Occult Blood Test.
Primary, this study aims to develop and validate a computer-aided diagnosis (CADx) system for the characterization of colorectal polyps. Second, this study evaluates the effect of using a clinical classification model Blue Light Imaging Adenoma Serrated International (BASIC) on the diagnostic accuracy of the optical diagnosis of colorectal polyps compared to intuitive optical diagnosis for both expert endoscopists and novices.
Background: Colonoscopy is accepted to be the gold standard for screening of colorectal cancer (CRC). Most CRCs develop from adenomatous polyps, with colonoscopy accepted to be the gold standard for screening of CRC. An endoscopist's ability to detect polyps is assessed in the form of an Adenoma Detection Rate (ADR). Each 1.0% increase in ADR is associated with a 3.0% decrease in the risk of the patient developing an interval CRC. There remains a wide variation in endoscopist ADR. More recently, the use of artificial intelligence (AI) and computer aided diagnosis in endoscopy has been gaining increasing attention for its role in automated lesion detection and characterisation. AI can potentially improve ADR, but previous AI related work has largely focused on retrospectively assessing still endoscopic images and selected video sequences which may be subject to bias and lack clinical utility. There are only limited clinical studies evaluating the effect of AI in improving ADR. The CADDIE device uses convolutional neural networks developed for computer assisted detection and computer assisted diagnosis of polyps. Primary objective: To determine whether the CADDIE artificial intelligence system improves endoscopic detection of adenomas during colonoscopy. Primary endpoint: The difference in adenoma detection rate (ADR) between the intervention (supported with the CADDIE system) and non-intervention arm Study design: Multi-Centre, open-label, randomised, prospective trial to assess efficacy and safety of the CADDIE artificial intelligence system for improving endoscopic detection of colonic polyps in real-time.
Endoscopic resection of large non-pedunculated adenomas is most often performed using the 'lift-and-cut' endoscopic mucosal resection (EMR) technique. This endoscopic technique has a relatively low technical complexity and short-duration and is commonly considered a safe and reliable surgical option, nevertheless several adverse events can occur during or after this procedure. One of the most frequent late complication is the post-procedural bleeding occurring up to 30 days post-polypectomy, which often requires emergency hospitalization and re-intervention. Endoscopic hemostasis of active post procedure bleeding can be achieved using prophylactic clips. Recently, the use on sprayable hemostatic agents have been introduced in the gastrointestinal endoscopical practice. Cyanoacrylate is a liquid tissue adhesive that has been proved to be of some utility in the endoscopic management of gastrointestinal variceal bleeding. In this study the investigators aim to compare the rate of postoperative bleeding between two groups of patients with large colorectal polyps. In the first group it will be performed a prophylactic clipping after the polypectomy and in the other group it will be used cyanoacrylate after clipping.
Following European guidelines patients undergoing colonoscopy in one of Odense University Hospitals units will now be offered a colon capsule endoscopy (CCE) in case of incomplete examinations. Patients formerly referred to colonoscopy in general anesthesia or patients who decline colonoscopy after having completed bowel preparation will also be offered a CCE. In our department we have conducted a comparison study documenting that the sensitivity of CCE is superior to CT colonography in both polyps >9 mm and polyps >5 mm, which is also supported by an Italian study. The safety and completion rate of CCE following incomplete colonoscopy is confirmed by several studies including one multicenter study and the completion rate is not significantly lower compared to other patient groups. In an incomplete colonoscopy it is always the most oral part of the colon which is not visualized, whereas in CCE, an incomplete investigation will most often have visualized the oral part. By combining incomplete colonoscopy results and incomplete CCE results we can identify patients who have had a complete colon investigation although both investigations were incomplete. Aim: to investigate the quality of CCE and the completion rate in patients who have undergone an incomplete colonoscopy, have completed bowel preparation but declines colonoscopy or have been referred to colonoscopy in general anesthesia.
The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures. The safety of Ultivision AI Software will also be assessed. A subset of the subjects will enter a roll-in period for clinical trial safety assessment. The remainder of subjects who are eligible will enter the detection phase which comprises a screening colonoscopy procedure. In the detection phase, subjects will be randomized to a screening colonoscopy with Ultivision AI Software enhancement or without AI Software enhancement. The study will measure the mean adenomas per colonoscopy procedure, as defined by the protocol, detected while receiving either treatment option.
This study is a prospective, single-arm, open-label, multi-center, feasibility study to evaluate the safety and efficacy of ColubrisMX ELS System in patients undergoing transanal endoluminal procedures, specifically colorectal Endoscopic Submucosal Dissection.
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.
Bowel cancer is the third most common cancer in the UK. It develops through smaller growths in the bowel called polyps. Early recognition and removal of these polyps result in prevention of developing bowel cancer in an individual. However, not all polyps will lead to cancer, certain polyps are just growths of normal tissue and can be left in the bowel. We therefore need to know which polyps to remove and which ones to leave. One way of doing this is to have a better look at these polyps. This can be done by new technologies. One of them is called Blue Light Imaging (BLI). This is a new light source at the end of the camera which is activated by the push of a button. It will help us in looking at these polyps more closely. This helps us decide which polyps to remove and which ones are safe to leave as there is always a small risk in removing a polyp. It would also give us a better idea as to when to repeat the camera test if necessary (endoscopic surveillance). By reducing the number of polyps resected and sent to the pathology labs for diagnosis, the work load on the pathology department is also reduced and in the process, providing cost savings to the Trust, The study aims to see if using Blue Light during endoscopy helps us to identify and characterize small polyps better
A prospective randomised controlled trial of cold vs hot snare polypectomy of non-pedunculated colorectal adenomas.