Loading clinical trials...
Loading clinical trials...
Showing 1-20 of 42 trials
NCT05869838
The objective of this study is to collect colonoscopy data for use in the development and testing of artificial intelligence (AI) devices for colonoscopies.
NCT06063720
This study prospectively evaluated the role of EWT versus SWT on adenoma detection rate (ADR) and other key quality metrics. In this prospective single-center study, patients undergoing colonoscopy were enrolled. EWT was calculated in real-time using an AI system with endoscopists blinded to the results. We performed multivariable analyses to assess the association of EWT and SWT with binary (e.g., ADR) and count outcomes (e.g., adenoma per colonoscopy \[APC\]), after adjusting for patient and procedural characteristics.
NCT04777019
Computer aided detection (CADe) algorithms have been developed to overcome human errors and assist endoscopists in detecting more polyps during colonoscopy. The aim of this study was to investigate the accuracy of the novel Pentax Discovery CADe system (Discovery-AI) against pre-recorded videos of colon polyps of various size, shape and pathology while using videos of normal colon segments as controls from two different institutes.
NCT06550908
Training in endoscopy is essential for the early detection of precursors of colorectal cancer. Up to now, this training has been carried out with image collections of findings and in practice when working on patients. The investigators want to use artificial intelligence (AI) to better train doctors to recognise these precursors. By using generative AI, the investigators were able to create realistic images that comply with data protection regulations and whose content can be predefined. Parts of the image can also be regenerated so that it is possible to create different precancerous stages in the same place in the image. In this study the investigators want to train physicians using real images or artificial images in order to compare which version helps classify polyps better.
NCT07089615
Note: This is the same study protocol as NCT04607746 with slight changes to how the videos will be read and a 2nd generation capsule is being studied. The purpose of this study is to evaluate the safety and effectiveness of CapsoCam® Colon (CV-3) endoscope system for the detection of colonic polyps and to show that AI-based CADe improves the polyp-detection accuracy and efficiency of capsule video readers. It will use colonoscopy results as a reference. The participant will: 1. prep for and swallow a study capsule and then 2. prep for and undergo a colonoscopy either the following day or 3-6 weeks later
NCT02196649
Patients will be randomised to have endoscopic clips applied to the Endoscopic Mucosal Resection (EMR) site following complete removal of the lesion, or will not receive clips and proceed with standard of care.
NCT02957058
To prospectively validate the SERT (Sydney EMR Recurrence Tool) scoring system for adenoma recurrence rates around the endoscopic mucosal resection (EMR) scar after wide field-EMR with thermal treatment applied to the defect margin. The primary aim of the study will be to ensure the safety of this approach and there will be constant monitoring to ensure that this is the case.
NCT01372696
The purpose is to investigate whether polyps that look different at colonoscopy, have formed via different mutations and have different risks of turning into cancer.
NCT02198729
The investigators have recently become proficient in a new, and we believe more effective technique for polyp removal. Known as Endoscopic Submucosal Dissection (ESD). ESD involves removing the polyp in one piece. It is preferable to remove the polyp in one piece as it minimises the chance of leaving residual polyp tissue behind. There have also been recent studies overseas that have shown this new technique to be quite effective. In this study, half of the patients will receive the newly developed technique of polyp removal (ESD), while the other half will receive conventional Endoscopic Mucosal Resection (EMR) treatment. This study will allow us to show which technique results in lower recurrence rates and is more effective.
NCT06426745
Colonoscopy is the current standard method for evaluation of colonic disorders such as colorectal cancer, IBD, polyps, and other conditions.
NCT05189912
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.
NCT05836064
It is estimated that about 20% of colonoscopies have inadequate preparation. (5) This is associated with lengthy procedures and less detection of adenomas, reduces the screening intervals, and increases the costs and risks of complications. Several strategies have been proposed to improve the quality of bowel preparation. Mobile healthcare Apps have been developed to increase adherence to bowel preparation agents, improving the quality of bowel preparation. However, adherence to mobile healthcare Apps is also a quality criterion and a pending problem to solve with this new technology. GastroBot is a new technology based on artificial intelligence that allows, through a software bot, to carry out a personalized follow-up of the patient's bowel cleansing, advising the patient to overcome contingencies that arise with the preparation, which in other circumstances could lead to the failure of it. The primary aim of this study is to determine the improvement in bowel preparation after GastroBot assistance compared with the traditional explanation. As a secondary aim, this study also pursues to determine adenoma and polyp detection rates (ADR and PDR, respectively), bowel preparation agents' tolerance, and GastroBot functionality.
NCT06062095
Colonoscopic removal of adenomatous polyps reduce both the incidence and mortality of colorectal cancer (CRC). The common clinical management of colorectal polyp detected during colonoscopy is to remove them and send for histopathology to determine the subsequent surveillance interval. More than 80% of polyps detected during screening or surveillance colonoscopy are diminutive (≤5mm). As the chance of diminutive polyps to harbor cancer or advanced neoplasia is low, leave-in-situ and resect-and-discard strategies using optical diagnosis are recommended for non-neoplastic polyps by the American Society for Gastrointestinal Endoscopy (ASGE) and the European Society for Gastrointestinal Endoscopy (ESGE) so as to reduce the financial burden of polypectomy and histopathology. The societies proposed leave-in-situ strategy if optical diagnosis can achieve a negative predictive value (NPV) of \>90% for rectosigmoid polyp and resect-and-discard if an agreement of more than 90% concordance with histopathology-based post-polypectomy surveillance interval can be achieved. However, optical diagnosis is operator dependent and most endoscopists are reluctant to adopt this strategy in routine practice because of the need of strict training and auditing and fear of incorrect diagnosis. In the past decade, with the exponential increase in computational power, reduced cost of data storage, improved algorithmic sophistication, and increased availability of electronic health data, artificial intelligence (AI) assisted technologies were widely adopted in various healthcare settings to improve clinical outcomes, especially the quality of colonoscopy in the area of gastroenterology. Real time use of computer-aided diagnosis (CADx) for adenoma using AI systems were developed and proven to be useful to help endoscopists to distinguish neoplastic polyps from non-adenomatous polyps. However, these studies only examined diminutive polyp but not polyp of larger size (\>5mm). They were conducted with small sample size of less than few hundred subjects and the study settings were open-label and non-randomized. The investigators aim to conduct a large scale randomized controlled trial to evaluate the performance of colorectal polyp characterization of all size polyps by real-time CADx using AI system against conventional colonoscopy with optical diagnosis.
NCT04214678
This is a single centre randomised controlled study comparing underwater clip closure versus conventional gas insufflation clip closure of post-resection defect in patients undergoing colonic endoscopic resection. The investigators hypothesize that underwater clip closure would be faster than conventional closure under gas insufflation.
NCT05559814
This is a prospective randomized placebo-controlled trial to evaluate the efficacy of peppermint oil spraying into the colonic lumen through the scope channel during screening colonoscopy. The primary outcome is to compare the colonic peristalsis between peppermint oil and placebo. The secondary outcomes compare the procedural time, polyp detection rate, adenoma detection rate, and adverse events.
NCT04510545
The purpose of this study is to assess whether computer aided technology (CAD) can help in the diagnosis of polyps found the bowel compared with visual inspection alone and therefore whether it is beneficial in helping clinicians to decide whether to remove a polyp or not. Presently, most endoscopists remove all polyps found and send them to the laboratory for testing. The number of colonoscopies is increasing, meaning that more polyps are detected and removed. This comes at a significant cost to the health service and increases the time taken to complete a colonoscopy.
NCT05012527
The aim of the study is retrospectively evaluating all features of endoscopic and pathological diagnoses of cases who underwent upper and lower gastrointestinal endoscopy.
NCT03954561
Loop formation is the most frequent cause of cecal intubation failure during colonoscopy. To reduce the loop formation, external abdominal pressure is widely used and proved to be helpful. Properly applied pressure can also decrease patients discomfort and shorten the cecal intubation time. The loop formation during water exchange is less severe as compared with during air insufflation and can be reduced quite readily. Traditionally an assistant is not asked to administer abdominal compression until the endoscopist has struggled for some time and failed to reduce the loops by withdrawal. The colonoscopist can administer the abdominal compression whenever the scope is not advancing smoothly, probably in the early stage of loop formation. We test the hypothesis that colonoscopist administered abdominal compression to remove loops in their early stage of formation hastens cecal intubation. A total of 120patients will be randomized in a 1:1 ratio (n=60 per group). When the tip of the scope doesn't advance or paradoxical movements occur, loop reduction by withdrawal of the scope will be implemented. If looping persists, abdominal compression will be applied. In the endoscopist-administered abdominal compression (endoscopist) group, the colonoscopist will apply the compression with his right hand and counter the pressure by pushing the back of the patient with his left forearm with the colonoscope in his left hand. The compression will be administered at left lower quadrant when the scope is in the sigmoid colon and at left lower quadrant and upper abdomen, respectively, when the scope tip reaches the transverse or ascending colon. If the formation of loop cannot be overcome, an assistant will apply the abdominal compression instead. In the assistant-administered abdominal compression (assistant) group, an endoscopic assistant will apply abdominal compression when a loop is formed. The assistant will apply the compression at the left lower quadrant initially, but quickly shift to other parts as needed depending on the tip location of colonoscope. If manual compressions fail, then the patients' position will be changed.
NCT04335318
The objective of this study is to compare the polyp detection rate (PDR) of endoscopists unaware of a commercially available artificial intelligence (AI) device for polyp detection during colonoscopy and the PDR of endoscopists with the aid of such a device. Moreover, an extensive characterization of the performance of this device will be done.
NCT02205125
Removal of polyps at colonoscopy reduces colon cancer. Snare polypectomy is the conventional method for removal however the snared area after removal can occasionally appear uneven raising the possibility that complete removal has not occurred. The significance of this irregularity has not be studied. This study aims to separately sample the irregular area and determine the constituents while recording how frequently this occurs during routine colonoscopy and polypectomy. We hypothesize that the irregular areas are submucosal tissue and do not represent polyp tissue left behind.