View clinical trials related to Adenoma Colon.
Filter by:Deep learning technology has an increasing role in medical image applications and, recently, an artificial intelligence device has been developed and commercialized by Medtronic for identification of polyps during colonoscopy (GI-GENIUS). This kind of computer-aided detection (CADe) devices have demonstrated its ability for improving polyp detection rate (PDR) and the adenoma detection rate (ADR). However, this increase in PDR and ADR is mainly made at the expense of small polyps and non advanced adenomas. Colonoscopies after a positive fecal immunochemical test (FIT) could be the scenario with a higher prevalence of advanced lesions which could be the ideal situation for demonstrating if these CADe systems are able also to increase the detection of advanced lesions and which kind of advanced lesions are these systems able to detect. The CADILLAC study will randomize individuals within the population-based Spanish colorectal cancer screening program to receive a colonoscopy where the endoscopist is assisted by the GI-GENIUS device or to receive a standard colonoscopy. If our results are positive, that could suppose a big step forward for CADe devices, in terms of definitive demonstration of being of help for efectively identify also advanced lesions.
We intend to develop intelligent quality control and management software based on the work of digestive endoscopic artificial intelligence in the Department of Gastroenterology, Wuhan University Renmin Hospital, to accurately and comprehensively assess the quality of gastrointestinal endoscopy and to provide a practical basis for improving the quality of digestive endoscopy in our endoscopic center.
The Endocuff study aims to show an increase of the number of detected adenomas in screening colonoscopies when a endocuff vision (Arc Medical Design Ldt Leeds England) is used.
This study compares the effectiveness in complete resection (absence of recurrence at 6 months) the two different techniques for performing endoscopic mucosal resection (EMR) of nonpedunculated homogeneous colorectal lesions >20mm
Colonoscopy screening is proven to reduce mortality rates for colorectal cancer, which relies on early detection and removal of colonic polyps. AmplifEYE is a FDA-approved device with a row of flexible detection arms attached to the tip of colonoscope which can separate colonic folds during scope withdrawal and is believed to improve polyp detection. Real-life clinical data on this relatively new device is lacking and this study aims to compare the adenoma and polyp detection rates in AmplifEYE-assisted colonoscopy versus standard colonoscopy.
Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in blood to detect cancer early. The purpose of this study is to develop and validate a blood-based assay to detect colorectal cancer by collecting blood and stool samples from healthy patients undergoing routine screening colonoscopy and from patients recently diagnosed with colorectal cancer or advanced adenomas.
Evaluation of colonoscopy with a specific device for the detection of adenomas: Multicenter, prospective and randomized study
The accuracy of real-time histology prediction (hyperplastic vs. adenomas) of colonic polyps using white light high-definition endoscopes is suboptimal. Blue laser imaging (BLI) is a new system for image-enhanced endoscopy using laser light, that is incorporated in the last generation Fuji high- definition videocolonscopes ELUXEO. Blue laser imaging (BLI) utilizes two monochromatic lasers instead of xenon light: a 410 nm laser visualizes vascular microarchitecture, similar to narrow band imaging, and a 450 nm laser provides white light by excitation.This system should enhance the microvascular pattern of superficial lesions, making the histological prediction easier. Aim of the study is to compare the accuracy of white light and BLI systems in real-time histology prediction of colonic polyps. For this purpose all colonscopies will be performed in a standard fashion using white light. When a polyps <10mm in size will be identified, patients will be randomized in two groups. In the Group 1 (White Light Grroup), all polyps <10mm will be evaluated with white light and prediction of histology (hyperplastic versus adenomatous) will be made by means of white light. In the Group 2 (BLI Group) , all polyps <10mm in size will be evaluated with BLI and scored as hyperplastic (type 1) or adenomatous (type 2) by applying the NICE (Narrow-band Imaging International Colorectal Endoscopic) classification, indicating color/vessel/surface pattern. The level of endoscopist's confidence in predicting histology (high or low confidence) for any polyp will be also recorded. Diagnostic performances of the endoscopists (sensitivity, specificity, positive and negative predictive values) will be calculated comparing endoscopist's prediction and pathology report, considered as reference standard in both study groups in order to evaluate the accuracy of real-time histology prediction by using BLI or white light.
This is a prospective randomised controlled trial to assess an intervention of inspection during both phases of colonoscopic examination ( insertion and withdrawal) improve adenoma detection rate when compared to inspection only during withdrawal.
This study is evaluating the effect of adding a high dose of simethicone to the standard polyethylene glycol preparation for screening colonoscopy in the quality of the preparation , adenoma detection rate and withdrawal times.