View clinical trials related to Polyp of Colon.
Filter by:The focus of the study is to evaluate impact of submucosal injection of EverLift in achieving complete resection during polypectomy of polyps 4-9mm during colonoscopy.
The focus of the study is to evaluate impact of cold forcep and cold snare in achieving complete resection during polypectomy of polyps <=3mm during colonoscopy.
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.
This study is an open label, unblinded, non-randomized interventional study, comparing the investigational artificial intelligence tool with the current "gold standard": Data acquisition will be obtained during one scheduled colonoscopic procedure by a trained endoscopist. During insertion, no action will be taken, colonoscopy is performed following the standard of care. Once withdrawal is started, a second observer (not a trained endoscopist but person trained in polyp recognition) will start the bedside Artificial intelligence (AI) tool, connected to the endoscope's tower, for detection. This second observer is trained in assessing endoscopic images to define the AI tool's outcome. Due to the second observer watching the separate AI screen, the endoscopist is blinded of the AI outcome. When a detection is made by the AI system that is not recognized by the endoscopist, the endoscopist will be asked to relocate that same detection and to reassess the lesion and the possible need of therapeutic action. All detections are separately counted and categorized by the second observer. All polyp detections will be removed following standard of care for histological assessment. The entire colonoscopic procedure is recorded via a separate linked video-recorder.
Interventional prospective multicenter study: Polyp detection by an automated endoscopic tool as second observer during routine diagnostic colonoscopy
In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
In the past decade, the demand for colonoscopy procedures has increased significantly since the introduction of population-based colorectal cancer (CRC) screening in many western countries. Post-polypectomy surveillance will increase the number of colonoscopy procedures conducted each year even further. The invasive nature of colonoscopy and the associated health-care costs warrant the development of a new non-invasive test to reduce the number of unnecessary colonoscopies. These days, many countries use a non-invasive fecal test for CRC screening which is easy to perform at home, but test characteristics such as sensitivity and specificity are suboptimal. Multiple studies have already shown that volatile organic compound (VOC) analysis has a high diagnostic accuracy for CRC and Advanced Adenomas. An additional VOC analysis, for example through breath testing, in patients with a positive fecal immunochemical test (FIT) may reduce the number of unnecessary colonoscopies. The aim of this study is to validate the diagnostic accuracy of the AeonoseTM to distinguish patients with CRC from healthy controls, and to assess reproducibility of test results.
The EndoRotor® is intended for use (USA labeling) in endoscopic procedures by a trained gastroenterologist to resect and remove tissue, not intended for biopsy, of the gastrointestinal (GI) system including post-endoscopic mucosal resection (EMR) tissue persistence with a scarred base and residual tissue from the peripheral margins following EMR. In this trial investigators will conduct a post-market, prospective, non-randomized, multi-center study for the treatment of subjects with the need for resection of recurrent flat or sessile colorectal lesions where EndoRotor is the primary resection modality of persistent adenoma with a scarred base.
The focus of the study is to evaluate impact on Adenomas Per Colonoscopy (APC) with a Computer Aided Detection (CAD) software assisting the gastroenterologist during a colonoscopy procedure.
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.