View clinical trials related to Polyp of Colon.
Filter by:Accurate classification of growths in the large bowel (polyps) identified during colonoscopy is imperative to inform the risk of colorectal cancer. Reliable identification of the cancer risk of individual polyps helps determine the best treatment option for the detected polyp and determine the appropriate interval requirements for future colonoscopy to check the site of removal and for further polyps elsewhere in the bowel. Current advanced endoscopic imaging techniques require specialist skills and expertise with an associated long learning curve and increased procedure time. It is for these reasons that despite being introduced in clinical practice, uptake of such techniques is limited and current methods of polyp risk stratification during colonoscopy without Artificial intelligence (AI) is suboptimal. Approximately 25% of bowel polyps that are removed by major surgery are analysed and later proved to be non-cancerous polyps that could have been removed via endoscopy thus avoiding anatomy altering surgery and the associated risks. With accurate polyp diagnosis and risk stratification in real time with AI, such polyps could have been removed non-surgically (endoscopically). Current Computer Assisted Diagnosis (CADx, a form of AI) platforms only differentiate between cancerous and non cancerous polyps which is of limited value in providing a personalised patient risk for colorectal cancer. The development of a multi-class algorithm is of greater complexity than a binary classification and requires larger training and validation datasets. A robust CADx algorithm should also involve global trainable data to minimise the introduction of bias. It is for these reasons that this is a planned international multicentre study. The Investigators aim to develop a novel AI five class pathology prediction risk prediction tool that provides reliable information to identify cancer risk independent of the endoscopists skill. These 5 categories are chosen because treatment options differ according to the polyp type and future check colonoscopy guidelines require these categories
The goal of this clinical trial is to evaluate the diagnostic yield of CADe in a consecutive population undergoing colonoscopy. The main question it aims to answer is the Adenoma Detection Rate (ADR). Participants undergoing colonoscopy for follow-up in a screening setting will be randomized in a 1:1 ratio to either receive Computer-Aided Detection (CADe) colonoscopy or a conventional colonoscopy (CC). GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.Researchers will compare the CADe group and the CC-group to see if CAD-e can increase the ADR significantly.
The EAGLE study is a prospective randomized controlled multicenter parallel design trial, for the assessment of clinical performance of the CADDIE device and to confirm that the device performs as expected.
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)
The aim of this project is to promote the breath volatile marker concept for colorectal cancer (CRC) screening by advancing developing the application of a novel hybrid analyzer for the purpose. The hybrid analyzer concept is expected to benefit of combining metal-oxide (MOX) and infrared spectrum (IR) sensor acquired data. The current study will be the first globally to address this concept in CRC detection. In addition, traditional methods, in particular, gas chromatography coupled to mass spectrometry (GC-MS) will be used to address the biological relevance of the VOCs emission from cancer tissue and will assist in further advances of the hybrid-sensing approach.
Hypoxia is the most common adverse event during gastrointestinal endoscopes sedated with propofol and sufentanil, especially in obese people. In the present study, high-flow nasal cannula oxygenation will be utilized in order to reduce the incidence of hypoxia among obesity.
In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
Advanced therapeutic endoscopy procedures are of increasing importance to provide minimal invasive treatment for GI diseases. The Centre Hospitalier de l'Université de Montréal as tertiary university center is dedicated to increase the availability of therapeutic endoscopy procedures for our population in Montreal and Quebec.
Endoscopic Mucosal Resection (EMR) is the current standard for effective endoscopic resection of such colon adenomas. If resection is possible in one piece (so-called "en bloc" resection) then recurrence rates are low. However, most non-pedunculated polyps >2 cm are removed in pieces ("piece-meal" resection) which leads to disease recurrence rates between 12-30%. In the March 2019 issue of Gastroenterology Bourke et al. presented that post-EMR ablation of the resection margins using soft coagulation with the tip of a resection snare reduces adenoma recurrence to 5% compared to 21% recurrence found in the control group. Hybrid Argon Plasma Coagulation (h-APC) combines an ablation technique (APC) with the option for submucosal saline injection using a high-pressure water jet. The technique allows to lift of dysplastic epithelium thus creating a safety cushion under the mucosa is lifted with a saline injection and then to ablate larger areas more thoroughly and with a higher energy setting, with a low risk for side effects or complications.
This is a study to compare two different, but normally, used methods of colonoscopy in patients that require a routine or repeat colonoscopy. There will be three arms in this study: WE water control, water plus Cap-1, and water plus Cap-2. The patient will prepare himself/herself for the colonoscopy as per normal instructions and he/she will be given the information for the study at that time so that he/she can make a decision to participate in the study. The control method will use water instead of air inserted into the colon. The study method will use a new accessory, a cap that will fit onto the end of the colonoscope plus water during the procedure. This study will also confirm if using the cap method with water is a better way of detecting polyps in the colon and possibly cancer.