View clinical trials related to Colon Polyp.
Filter by:EndoVigilant software device augments existing colonoscopy procedure video in real-time by highlighting colon polyps and mucosal abnormalities. It is intended to assist gastroenterologists in detection of adenomas and serrated polyps. The device is an adjunctive tool and is not intended to replace physicians' decision making related to detection, diagnosis or treatment. This study with an adaptive design measures the clinical benefit (increase in detection of adenomatous and serrated polyps) and increased risk (increased extraction of non-adenomas) during standard colonoscopy procedures when EndoVigilant software device is used.
Compare the quality of bowel preparation between two groups of patients, who will undergo two different preparations: 1. Moviprep + diet; 2. Plenvu + diet
Colonoscopy is currently accepted as the gold standard in screening, surveillance and prevention for colorectal cancer (CRC), and therefore, its quality is a major priority. The quality of colonoscopy is greatly dependent on the quality of the bowel preparation, which can be limited by stool, foam, bubbles and other debris. In fact, colonic bubbles are described in 30 to 40% of colonoscopies, possibly undermining the quality of the exam, impairing the endoscopists view, demanding the further use of water or simethicone and eventually increasing fatigue and costs, while diminishing diagnostic accuracy. Although previous attempts, to date no endoscopic scale is validated regarding the presence of bubbles and most widely accepted and already validated scales do not include the presence or absence of bubbles in their definition, leading to the use of different home-made scales in randomized trials and impairing any solid meta-analysis conclusion. As so, the goal of this study is to develop and validate a new colonic bubble score (Colon Endoscopic Bubble Scale - CEBuS).
The PREEMPT CRC study is a prospective multi-center observational study to validate a blood-based test for the early detection of colorectal cancer by collecting blood samples from average-risk participants who will undergo a routine screening colonoscopy.
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.
The aim of this study is to evaluate patient and consultant experiences with phone consultations for endoscopy-related outpatient appointments during the COVID-19 outbreak.
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.
A study of colorectal cancer screening using stool DNA-based SDC2 methylation test
This is a prospective multi-center randomized study is to determine whether the use of artificial intelligence (AI)-assistance could reduce the miss rates of polyps and adenomas in the proximal colon during tandem examination
Volatile organic compounds (VOCs) are low molecular weight (<1 kDa) compounds which represent the final products of cell metabolism. Their composition can be affected by several factors including diet, hormones, environment and the presence of diseases, in particular, cancer. Colorectal cancer (CRC) is one of the commonest tumours and is an important cause of cancer-related mortality. The expression of VOCs in breath that are linked to a patient's disease state could offers a powerful, non-invasive approach to identifying CRC patients.