View clinical trials related to Colon Polyp.
Filter by:Colonoscopy is an essential tool for diagnostic evaluation for a wide range of gastrointestinal complaints and is considered the gold standard for colorectal cancer screening. This procedure is often associated with patient anxiety both prior to and during the procedure, as well as discomfort,which is managed with procedural sedation.Anticipation of an uncomfortable experience can deter patients from undergoing the procedure despite it being medically indicated. Music has a number of beneficial effects including improving senses of relaxation and well being. Use of music during colonoscopy is inconsistent and there are no society guidelines or recommendations regarding its use. The investigators hypothesize that music will improve the overall patient experience and enhance endoscopist performance.The investigators propose a randomized controlled trial to study effects of music on both the patient experience and endoscopist performance during colonoscopy. Eligible patients will be randomized to two groups: a "music group" and a "no music"control group.Patients in the music group will be asked for their preference of music to be played during their colonoscopy. For patients in the music group, this music will be played in the procedure room during the procedure, while those in the control group will have no music playing. Patient anxiety and pain will be assessed both before and after the procedure.Overall patient experience after the procedure will be assessed on a likert scale. The performance of the endoscopist will be assessed by measuring adenoma detection rate and adenomas per colonoscopy. Additional outcomes to be assessed include total procedure time and amount of sedation required.
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