View clinical trials related to Colonic Polyps.
Filter by:The goal of this trial is to determine whether use of a Computer Assisted Detection (CADe) programme leads to an increase in ADR for either units or individual colonoscopists, independent of setting or expertise
The objective of this study is to collect colonoscopy data for use in the development and testing of artificial intelligence (AI) devices for colonoscopies.
Background: Removal of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths. Recently, there have been much interest in the use of artificial intelligence (AI) platforms to augment the routine endoscopic assessment of the colon to enhance adenoma detection rate (ADR). To date, computer assisted detection of polyps (CADe) have been shown to be safe, with a significant increase in ADR, without any concomitant increase in post-procedural complications. Aims: The investigators aim to evaluate the use of GI GeniusTM Intelligent Endoscopy Module in a multi-ethnic Asian population (Singapore) to increase in ADR and adenoma detected per colonoscopy (ADPC)to justify its effectiveness as an adjunct in polyp detection and training for colonoscopy. Methods: This study will be a single-institution cohort study, conducted over a 2-year period. Sengkang General Hospital (SKH) does an estimated 12,500 colonoscopies per year, with an average of 1,040 colonoscopies performed every month. Thus, given the case volume, the investigators expect to detect differences in ADR amongst endoscopists if any during this study period. As part of the subgroup analysis, the investigators also aim to compare the ADR rates of trainee endoscopists with and without the GI GeniusTM Intelligent Endoscopy Module to ascertain its utility as an education tool/training adjunct
The ClearCoajet is a new hemostasis device with a hybrid function (Coagulation + Injection) and is developed to provide effective coagulation, injection, and marking around lesions without changing devices during the endoscopic procedure. In this study, the investigators examine the hemostatic effect of ClearCoajet on intraprocedural bleeding during endoscopic mucosal resection or endoscopic submucosal dissection for colorectal sessile polyps or lateral growth tumors larger than 1.5 cm. The investigators also aim to compare the delayed bleeding and recurrence rates between the ClearCoajet group and the control group.
The EAGLE study is a prospective randomized controlled multicenter parallel design trial, for the assessment of clinical performance of the CADDIE device and to confirm that the device performs as expected.
This is a prospective, multicenter, randomized study to evaluate the clinical performance of a novel CADe device, WISE VISION® Endoscopy System, in patients undergoing high-definition white light (HDWL) colonoscopy for screening or surveillance of colorectal Cancer (CRC). Eligible subjects who meet the study inclusion/exclusion criteria will be randomized in a 1:1 ratio to undergo colonoscopy : - Experimental: CADe colonoscopy procedure with WISE VISION® Endoscopy (CADe Group) - Control: Standard Colonoscopy without CADe (Standard Colonoscopy Group)
The accuracy of endoscopic optical diagnosis for colorectal polyps has been approaching histological diagnosis after implementation of image enhancement endoscopic technologies. The real-time notification of possible nature of resected polyp after colonoscopy is expected to reduce the anxiety and depression level of the patients before the availability of histological diagnosis and improve their quality of life. We designed and conducted a randomized control trial to confirm this hypothesis.
Currently, hemorrhage remains the most common postoperative complication in patients with colon polyps, with an incidence of approximately 1.5%. The main reasons for postoperative hemorrhage are: the patient's own condition, the nature of the polyp and the operation. The number of patients treated for colon polyps has increased, postoperative care is confusing, medical resources are wasted, and the time span for postoperative diet recovery is large. However, studies on the effect of postoperative dietary recovery timing on postoperative polyp bleeding are rare.
The aim of this study is to investigate if the use of artificial intelligence (AI) in colonoscopy improves the polyp detection rate, and if the use of AI has a learning effect.
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.