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Showing 1-20 of 59 trials
NCT05402696
The SPARC-C study is a prospective, multi-institutional observational study of patients referred for the management of large (≥ 20mm) non-pedunculated colorectal polyps (LNPCPs). Patients are managed consistent with current standards of care. Prospectively collected data includes: patient clinicodemographic details, lesion details, procedural details, and clinical outcomes.
NCT07146165
The goal of this clinical trial is to determine whether the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon is feasible and safe. The main questions it aims to answer are: * Is the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon feasible (i.e., does it enable complete resection of the polyp)? * Is the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon safe? Participants will: * be treated with the EndoTEM system during the endoscopic submucosal dissection of polyps in the distal colon. * answere questionnaires on fecal continence and quality of life before and after the intervention. * be treated following standard clinical procedures before, during and after the endoscopic removal.
NCT06133387
The objective of this study is to evaluate the safety and effectiveness of the Endoluminal Surgical (ELS) System in subjects undergoing specified transanal endoluminal procedures in the rectum and sigmoid colon. Subjects will undergo endoscopic submucosal dissection (ESD), with or without closure at the discretion of the Investigator, of benign lesions in the rectum and sigmoid colon. The safety and effectiveness outcomes will be assessed intraoperatively and postoperatively at discharge and Days 7 and 30.
NCT07311590
The aim of the first-in-human clinical trial is to evaluate the feasibility of performing colonoscopic polypectomy with a novel colonic intraluminal endoscopic support structure (CIESS) in-situ
NCT06462521
The study will compare the use of cold snare piecemeal resection (CSPR) vs cold endoscopic mucosal resection (Cold EMR). The study will include two cohorts: one cohort for conventional adenomas 10-19mm in size and one cohort for serrated lesions 10mm or larger.
NCT04369053
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.
NCT03891251
The study shall mainly help to better evaluate the performance the APDS device and secondly it may help to assess the potential of the future alpha version of the device to be a useful and effective for the detection of colon Polyps.
NCT06345105
The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' adenoma per colonoscopy (APC), polyp per colonoscopy(PPC), adenoma detection rate (ADR), polyp detection rate (PDR) and during colonoscopy for each endoscopists. The association between the AI derived EWT with all colonoscopy outcomes during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI. The result will be compared with standard withdrawal time (SWT).
NCT05551052
The CRC DRAW study will assess the sensitivity and specificity of the blood-based, Next-Gen CRC Screening Test for the detection of CRC.
NCT06649123
Development of a multiomics assay for use on OriColTM sampled rectal mucus for detection of cancer and significant polyps in symptomatic patients on the Colorectal Urgent Suspected Cancer pathway.
NCT06905782
Traditional pre-colonoscopy counselling requires significant time from healthcare workers to explain procedures, limiting efficiency and patient turnover. Inadequate bowel preparation exacerbates this issue, leading to repeat procedures and increased costs. However, no study has yet evaluated the effectiveness of AI in improving the Boston Bowel Preparation Scale (BBPS) for colonoscopy preparation. By addressing this gap, AI chatbots could provide personalized guidance, reduce healthcare worker burden, improve preparation quality, and enhance patient experience.This research attempts to evaluate the effectiveness of using Artificial intelligence (AI) chat bot to improve bowel preparation, anxiety level and patient's satisfaction among colonoscopy patients in Hospital Tuanku Muhriz (HCTM), compared to conventional instructions
NCT03471793
A prospective, multicentre, observational study of all patients referred for endoscopic resection of sessile colorectal polyps sized ≥20 mm conducted with intention to treat analysis
NCT05064124
The purpose of the study is to assess whether the AI characterisation system of the CADDIE device improves the endoscopists accuracy in the optical diagnosis of diminutive colorectal polyps in the bowel during colonoscopy. Participants will either have a colonoscopy with the assistance of the CADDIE device characterisation AI system ("intervention group") or have a colonoscopy in line with routine clinical practice i.e., without the CADDIE device characterisation AI system ("control group"). The randomisation method of this trial will allocate enrolled participants to the "intervention" group and to the "control" group by a technique similar to flipping a coin.
NCT05990218
Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
NCT06656312
"The colorectal cancer mortality rate in Taiwan ranks third among all cancers, so it is crucial to prevent colorectal cancer through regular colonoscopy screenings and remove polyps with higher cancer risk. However, during colonoscopy, doctors tend to miss about 22% to 28% of polyps, and 20% to 24% of these missed polyps may turn into cancerous adenomas. Introducing an Artificial Intelligence (AI) assisted system can improve the overall quality of colonoscopy. This study aims to evaluate the effectiveness of the ASUS AI-assisted system (EndoAim) in diagnosing polyps during colonoscopy. It includes comparing the outcomes of colonoscopy with and without the use of EndoAim and assessing the impact of EndoAim on diagnostic effectiveness across different subgroups. Each participant will be randomly assigned to undergo a colonoscopy with or without the assistance of EndoAim. The performance of the AI-assisted system in colonoscopy will be comprehensively evaluated using indicators such as APC(Adenoma Per Colonoscopy), ADR(Adenoma Detection Rate), PDR(Polyp Detection Rate), and Positive Predictive Value (PPV).. A subgroup analysis will also be conducted based on several important factors. Polyps will be biopsied and sent for pathological examination, with the pathology report serving as the final diagnosis for subsequent analysis."
NCT06577610
The goal of this clinical trial is to learn if colonoscopy monitoring program works to adenoma detection rate in endoscopists. It will also learn about the impact on sessile serrated lesion detection rate, adenomas per colonoscopy, sessile serrated lesions per colonoscopy, advanced adenoma detection rate. The main questions it aims to answer are: Does colonoscopy monitoring program effect on adenoma detection rate in endoscopists? Participants will: Receive result of colonoscopy monitoring program or not every 3 months for 1 year
NCT04112563
Comparison of the number of adenomas missed by the first exploration of the right colon by LCI (linked color imaging) or by white light during a colonoscopy, according to the order of randomization.
NCT06073561
The global aim of this multi-centric study is to assess the learning curve of U-EMR by an endoscopist skilled in C-EMR aiming to assess the application in real world and check the rate of complete EMR and adverse events related to the procedure.
NCT06339697
To investigate the role of different types of laxatives (compounded polyethylene glycol electrolyte dispersions and compounded sodium pico-sulfate) on the composition, evolution and recovery of the gut microbiome of patients with colonic polyps undergoing bowel preparation.
NCT05030870
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.