View clinical trials related to Polyp of Colon.
Filter by: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.
The aim of this project is to promote the breath volatile marker concept for colorectal cancer (CRC) screening by advancing developing the application of a novel hybrid analyzer for the purpose. The hybrid analyzer concept is expected to benefit of combining metal-oxide (MOX) and infrared spectrum (IR) sensor acquired data. The current study will be the first globally to address this concept in CRC detection. In addition, traditional methods, in particular, gas chromatography coupled to mass spectrometry (GC-MS) will be used to address the biological relevance of the VOCs emission from cancer tissue and will assist in further advances of the hybrid-sensing approach.
After removing large polyps from the gastrointestinal tract, gastroenterologists close the new defect with devices to prevent complications like bleeding or the development of a leak. Commonly, this is done with a device called Overstitch, which allows the gastroenterologist to stitch the defect with an endoscope. A new device called X-tack has been developed to simplify endoscopic stitching. In this study, the new X-tack device will be compared to Overstitch when closing defects in the gastrointestinal tract. The two devices will be compared to see how long it takes to close a defect, as well as if there are any differences in complications like bleeding or infection.
People with inflammatory bowel diseases (IBD) can be at higher risk of developing abnormal areas in their bowel. These abnormal areas can be due to active inflammation, healed inflammation, polyps or pre-cancerous changes ("dysplasia"). It is for this reason that people with IBD are offered periodic surveillance colonoscopy procedures to identify, characterize and where necessary remove abnormal areas or lesions from the bowel. These can be difficult to characterize correctly, which is important to make the correct endoscopic diagnosis and management plan. Technical advancements in endoscopy mean that more tools are available to identify and characterize these lesions in real time during colonoscopy. Specialists regularly performing gastrointestinal endoscopy and colonoscopy ("endoscopists") will often receive special training, both during their initial postgraduate training and through continuous professional development programs. This study aims to evaluate whether an online training platform can improve the ability of endoscopists to characterize dysplasia in IBD. The goal is to support improved decision-making during IBD surveillance, reporting of dysplastic lesions, and ultimately the care and outcomes of people with IBD.
Careful inspection and evaluation of the post-polipectomy scars of polyps greater than 20 mm looking for residual polyp is mandatory. LCI has demonstrated to improve polyp and adenoma detection rate in previous studies. However, to our knowledge no previous studies have been made for validation of LCI for optical diagnosis of a scar looking for residual neoplasia after a previous polypectomy. We hypothesize that LCI will improve the optical diagnosis of polyp recurrence compared to WLE. So, our aim is to compare the efficacy of linked color imaging for optical diagnosis of post-polypectomy scar recurrence compared with high-definition white light endoscopy.
Overall Objective: To optimize timing of surveillance colonoscopy. Principal research question and specific aims: To assess the impact of access to a hand-held application on the timing of surveillance colonoscopy. To assess whether access to the tool improves adherence to recommended guidelines for follow-up colonoscopy intervals. Colonoscopy is commonly used for surveillance of patients with high risk of developing colorectal cancer, including those with family history of colorectal cancer and those with colorectal polyps. The recommended timing of surveillance colonoscopy varies by the estimated risk for development of colorectal cancer. The estimated risk varies by family history of colorectal cancer (number of affected individuals, age of the persons affected with CRC) and characteristics of the colorectal polyps (size, number, and histology of colorectal polyps (tubular or villous; high grade or low-grade dysplasia; sessile serrated polyp, sessile serrated polyp with dysplasia, hyperplastic polyp or traditional serrated adenomas). Guidelines take all of these factors into account in the recommendations for follow-up colonoscopy and hence are difficult to recall for the busy clinicians. Colonoscopy surveillance is frequently performed at shorter or longer than the recommended time intervals. The investigators have developed a smart phone application in which the characteristics of the patients can be inputted and the tool provides the recommended time interval for surveillance colonoscopy, based on North American guidelines. The investigators are proposing a pilot randomized trial to determine sample size estimates for a larger trial to assess the utility of this application in clinical practice.
This study will be a prospective analysis conducted by Geneoscopy Inc. to evaluate the Colosense test, which is a multi-target stool RNA test for colorectal screening.
The Italian screening program invites the resident population aged 50-74 for Fecal Immunochemical Test (FIT) every 2 years. Subjects who test positive are referred for colonoscopy. Maximizing adenoma detection during colonoscopy is of paramount importance in the framework of an organized screening program, in which colonoscopy represent the key examination. Initial studies consistently show that Artificial iIntelligence-based systems support the endoscopist in evaluating colonoscopy images potentially increasing the identification of colonic polyps. However, the studies on AI and polyp detection performed so far are mostly focused on technical issues, are based on still images analysis or recorded video segments and includes patients with different indications for colonoscopy. At the best of our knowledge, data on the impact on AI system in adenoma detection in a FIT-based screening program are lacking. The present prospective randomized controlled trial is aimed at evaluating whether the use of an AI system increases the ADR (per patient analysis) and/or the mean number of adenomas per colonoscopy in FIT-positive subjects undergoing screening colonoscopy. Therefore Patients fulfilling the inclusion criteria are randomized (1:1) in two arms: A) patients receive standard colonoscopy (with high definition-HD endoscopes) with white light (WL) in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination; B) patients receive colonoscopy examinations (with HD endoscopes) equipped with an AI system (in both insertion and withdrawal phase); all polyps identified are removed and sent for histopathology examination. In the present study histopathology represents the reference standard.
The mains complications in colo-rectal dissection are the pain, the delayed bleeding and the perforation and represent around 10%. Currently, the procedure is realized during a hospitalization with not real recommendation about the time of this. There is currently no score established for the colo-rectal endoscopic submucosal dissection. - To develop clinical or mixed prognostic score after endoscopic subcostal dissection for colorectal lesions in Nancy's hospital. - Allow to obtain an estimation of number of patients required for a larger study.
The focus of the study is to evaluate impact of submucosal injection of EverLift in achieving complete resection during polypectomy of polyps 4-9mm during colonoscopy.