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This clinical trial tests a multilevel intervention at the clinic, provider and patient levels, to improve colonoscopy surveillance in patients with high risk colon polyps. Colorectal cancer (CRC) is a common and deadly disease that is largely preventable through the detection and removal of colorectal polyps. One million Americans are diagnosed with high risk polyps of the colon or rectum annually and are at increased risk for CRC; however, uptake of recommended repeat colonoscopy in 3 years to reduce CRC risk is low in this group. This multilevel intervention may work to improve timely colonoscopy screening for patients with high risk colon polyps.
This is a multi-site comparative effectiveness randomized controlled trial (RCT) comparing annual fecal immunochemical testing (FIT) and colonoscopy for post-polypectomy surveillance among adults aged 65-82 with a history of colorectal polyps who are due for surveillance colonoscopy.
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
The goal of this randomized clinical trial is to learn if a combination of hot and cold EMR technique is associated with a lower risk of polyp recurrence without increasing the risk of complication when removing large polyps. Participants will undergo EMR and return for a follow-up endoscopy in 3-6 months to check for polyp recurrence.
Based on prior studies, trainee and practicing gastroenterologists miss pre-cancerous polyps (adenomas and serrated polyps) during colonoscopy. The use of computer-aided detection (CADe) systems, a form of artificial intelligence (AI) has been shown to help identify colorectal lesions for practicing gastroenterologists. However, less is known how AI impacts polyp detection for trainees. The investigators are conducting a tandem colonoscopy study wherein a portion of the colon is examined first by the trainee and then the attending physician. For each procedure, randomization will occur which will determine whether or not the trainee will utilize AI for their examination of the colon. At the end of the study, the investigators will determine whether AI helps trainees miss fewer polyps during colonoscopy. The investigators will also conduct interviews with trainees to understand how AI impacts colonoscopy training.
Non-inferiority trial comparing the recurrence rate of adenomas in non-pedunculated colonic lesions following endoscopic mucosal resection with margin marking (EMR-MM) and endoscopic mucosal resection with thermal margin ablation (EMR-STSC)
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.
This protocol describes a prospective cohort study. It addresses an important challenge in the prevention of colorectal cancer and duodenal cancer: how to safely and effectively remove large polyps.
With this study, the investigators plan to review the clinical, epidemiology, pathology, and endoscopic features of colon serrated lesions as well as outcome of endoscopic resection of these lesions. The findings will help us define the natural history of colon serrated lesions, develop techniques for endoscopic management of patients with serrated lesions, and identity areas for improvement. The data will be used for continuing quality improvement and presenting our outcomes at academic meetings and publishing our results in peer reviewed journals.
With this study, the investigators plan to review the performance of colonoscopic resection of large (\> 1 cm) and flat lesions in the colon. The findings will help us define the role of colonoscopic resection of colon polyps and flat lesions and identity areas for improvement. The data will be used for continuing quality improvement and presenting our outcomes at academic meetings and publishing our results in peer reviewed journals.