View clinical trials related to Polyps.
Filter by:Colon cancer is internationally the third cause of deaths from a malignant disease. Screening colonoscopy in adults >45 years of age aims at the early diagnosis and treatment colon polyps that are precancerous lesions. Endoscopic polyp removal (polypectomy) can be done with various techniques depending on the size, morphology, location of the polyp etc. According to updated guidelines, non-pedunculated polyps of small size are treated with a cold snare in air dilated intestinal lumen (conventional cold snare polypectomy - CCSP).In recent years, several studies have described the benefits of water aided colonoscopy, as well as safety and efficacy of underwater polypectomy in large colon polyps. However, there is not enough data on small polyps which are the most commonly diagnosed.This is a prospective randomized double-blind clinical trial to compare the safety and efficacy of CCSP to underwater cold snare polypectomy (UCSP)for non-pedunculated polyps of size of 5-10 mm. A total of 398 polyps will be randomized and randomization will be performed via random numbers method of Microsoft Excel 2016. Primary outcome of this study is to determine muscularis mucosa resection rate. Secondary outcomes are the depth and percentage of R0 excisions and possible complications. The investigators expect UCSP to ensure a higher muscularis mucosa resection rate and they attempt to examine the resection depth in the submucosal layer.These results will provide useful data for the development of guidelines in polypectomy techniques for non-pedunculated polyps 5-10mm.
The investigators hypothesize that the clinical implementation of an AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps during colonoscopy. The purpose of this prospective clinical cohort study is to evaluate the performance of the SCALE-EYE virtual scale for measuring polyp size when used during live colonoscopies. The investigators also wish to evaluate CAD-eye for detection and classification of polyp histology. It is hypothesized that CAD-eye and SCALE-EYE can function in real-time practice with high accuracy.
Colorectal cancer (CRC) is a leading cause of death in the Western world. It can be effectively prevented by removal of pre-malignant polyps (polypectomy) during colonoscopy. Large (≥20mm) non-pedunculated colorectal polyps (LNPCPs) represent 2-3% of colorectal polyps, and require special attention prior to treatment. If submucosal invasion (SMI) is suspected careful decision making is required to exclude features which unacceptably increase the risk of lymph node metastases and render local treatment (endoscopic) non-curative. Such patients require a multi-disciplinary approach and consideration of surgery +/- systemic therapy. Recently the endoscopic imaging characteristics which precisely determine the risk of SMI within colon polyps have been elucidated. This suggests endoscopic imaging may be the ideal investigation to stratify the presence and extent of SMI within LNPCP, particularly as it can be applied in real-time at the time of planned endoscopic treatment. Unfortunately, current classification systems are complex, require extensive training and technology not available in the majority of non-tertiary hospitals. They are therefore underused leading to incorrect decision making and negative patient outcome (e.g piecemeal resection without the chance of endoscopic cure or unnecessary further procedures in referral centres with resultant surgery anyway or surgery for benign disease) A simple clinical support tool was created, based on well-established parameters (i.e., presence of a demarcated area within a polyp, size of the polyp, Paris classification, location within the colon and granularity) to identify OVERT (visible on the surface) and COVERT (hidden) submucosal invasion (SMI) within LNPCPs. Crucially this tool only uses what is reproducible in the majority of endoscopy units in the Western world (i.e. standard magnification, no extra chromic dyes etc). predict SMI within LNPCPs and we translated it into a single web-based clinical support tool that can be used by every endoscopist (expert and non-expert). To evaluate the tool, a survey will be send to participants. The survey consist of a 10-minute educational video where the use of the tool will be explained. Then 20 standardised videos of LNPCPs will be shown. Participants are first asked about their first impression regarding the presence of SMI. Then they are redirected to the web-based tool. After filling the required data from a standardised video (45 seconds to minute, no focus on one particular area of the polyp) the score generated by our tool is copied to the participants computer clipboard and then pasted in the survey so that we could analyse it.
It is necessary to retrieve the resected polyp to determine the pathological nature of polyp and to judge the completeness of resection in polypectomy. For polyps with a larger diameter (>5mm), the most reliable way to retrieve them is to suck them out with the colonoscope. However, this method requires multiple colonoscope insertions, resulting in prolonged operation time and increased patient suffering. Therefore, clinicians often receive polyps by pressing the colonoscope suction valve. But it is difficult to receive polyps or even fail to receive. Even if the polyps were successfully received by this method, many polyps were fragmented. When the polyp is fragmented, the pathologist cannot be sure of the completeness of the polyp removal. By removing the colonoscope suction valve and connecting a polyp trap to suction onto the instrument channel port, the polyp fragmentation rate was reduced greatly. To further reduce the polyp fragmentation rate, while reducing the operation time and colon insertions, we applied the polyp receiving bag in colonoscopy operations. The primary purpose of this study is to evaluate the effectiveness of the application of the polyp retrieving bag to reduce the polyp fragmentation rate.
The purpose of this observational study is to describe the population of patients with SEA + NP who have been prescribed FASENRA and assess available clinical outcomes for both NP and asthma.
A randomized, controlled study investigating the potential benefits of artificial intelligence (AI) in the detection of colonic polyps during outpatient colonoscopy. Randomization between the use of AI and no AI is performed before the study procedure.
This was a Phase 4, open-label, single-arm, multicenter study to evaluate the efficacy and safety of dupilumab subcutaneous (SC) injection monotherapy in Japanese participants aged 18 or older with CRSwNP that is not adequately controlled with existing therapies. Duration of study period (per participant): - Screening Period (2 to 4 weeks) - Intervention Period (up to 52 weeks±3 days)
Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, with rates of CRC predicted to increase. Colonoscopy is currently the gold standard of screening for CRC. Artificial intelligence (AI) is seen as a solution to bridge this gap in adenoma detection, which is a quality indicator in colonoscopy. AI systems utilize deep neural networks to enable computer-aided detection (CADe) and computer-aided classification (CADx). CADe is concerned with the detection of polyps during colonoscopy, which in turn is postulated to help decrease the adenoma miss-rate. In contrast, CADx deals with the interpretation of polyp appearance during colonoscopy to determine the predicted histology. Prediction of polyp histology is crucial in helping Clinicians decide on a "resect and discard" or "diagnose and leave strategy". It is also useful for the Clinician to be aware of the predicted histology of a colorectal polyp in determining the appropriate method of resection in terms of safety and efficacy. While CADe has been studied extensively in randomized controlled trials, there is a lack of prospective data validating the use of CADx in a clinical setting to predict polyp histology. The investigators plan to conduct a prospective, multi-centre clinical trial to validate the accuracy of CADx support for prediction of polyp histology in real-time colonoscopy.
Hypoxia is the most common adverse event in gastrointestinal endoscopes sedated with propofol and sufentanil, especially in elderly people. The aim of this randomized study was to determine whether intervention based on additional capnographic monitoring reduces the incidence of hypoxia in gastrointestinal endoscopes procedures for elderly patients.
This study is intended to demonstrate the superiority of colorectal polyp detection using computer-assisted colonoscopy compared to conventional colonoscopy.