View clinical trials related to Polyps.
Filter by:In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
Accurate optical diagnosis of colorectal polyps could allow a "resect and discard" strategy based on the results of the optical biopsy. Even though intensive training for optical diagnosis, there is still wide variability in individual endoscopists to meet the PIVI thresholds. The investigators with experience of prior optical diagnosis training perform new education and drill to apply proper high confidence according to their decision time. After the education program, the investigators prospectively evaluate real-time optical biopsy analysis of polyps in 8 academic gastroenterologists.
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.
Linked color imaging (LCI) has shown its effectiveness in multiple randomized controlled trials for enhanced colorectal polyp detection. Most recently, artificial intelligence (AI) with deep learning through convolutional neural networks has dramatically improved and is increasingly recognized as a promising new technique enhancing colorectal polyp detection. Study aim was to evaluate a new developed deep-learning computer-aided detection (CAD) system in combination with LCI for colorectal polyp detection.
The objective of this study is to compare the polyp detection rate (PDR) of endoscopists unaware of a commercially available artificial intelligence (AI) device for polyp detection during colonoscopy and the PDR of endoscopists with the aid of such a device. Moreover, an extensive characterization of the performance of this device will be done.
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.
Endometrial polyps are one of the main causes of infertility in women. In this work we propose an alternative, effective, economical and safe treatment: the use of misoprostol
This study was attempted to determine the efficacy and complication of precut EMR comparing with convetional EMR for resecting of 10 ~ 20 mm colon polyp through prospective, randomized controlled trial.
This study evaluates the ability of endoscopists to perform a complete optical diagnosis of colorectal polyps between 5 and 15 mm, and the impact of the only endoscopic diagnosis on the follow-up program for those patients. This is a prospective study in which we compare the diagnosis regarding size and histology made by the endoscopist versus de pathologic diagnosis.