Clinical Research Directory

Imaging the Colon Using a Colonoscope Compatible Imaging Probe

The goal of this study is to use a colonoscope compatible device capable of taking images of the lower gastrointestinal tract. The main question it aims to answer is: Is the colonoscope compatible optical coherence tomography probe (CC-OCT probe) an effective device to use to take images of the gut? During the participant's standard of care colonoscopy, the CC-OCT probe will be inserted into the colonoscope. The CC-OCT probe will then collect images of the participant's gastrointestinal tract in real time.

Recurrence After Gastric and Intestinal Polyp Resection

This is a retrospective and prospective cohort study designed to evaluate the recurrence rate and identify risk factors after endoscopic resection of gastric and intestinal polyps. BACKGROUND: Gastric and intestinal polyps are common digestive diseases with potential for malignant transformation. Although endoscopic resection is the standard treatment, recurrence rates range from 10-50%, and the mechanisms and risk factors remain unclear. OBJECTIVES: Primary: To assess short-term (1-year) and long-term (3-year) recurrence rates after endoscopic polyp resection Secondary: To identify independent risk factors and develop a recurrence risk prediction model DESIGN: Mixed retrospective-prospective cohort study * Retrospective cohort: Patients who underwent polyp resection from 2021-2022, with follow-up data through 2024 * Prospective cohort: Patients enrolled from 2024-2025, with standardized follow-up through 2028 SETTING: Single tertiary referral center with \>10,000 endoscopic polyp resections performed since 2021 PARTICIPANTS: Approximately 1,600-1,800 adult patients (≥18 years) who underwent complete endoscopic resection of gastric or intestinal polyps FOLLOW-UP: * Short-term: 1 year post-resection (±2 months) * Long-term: 3 years post-resection (±3 months) MAIN OUTCOME: Recurrence rate defined as new polyp detection at original or different sites during endoscopic surveillance POTENTIAL RISK FACTORS: Patient demographics, polyp characteristics (size, number, location, pathology), resection method, Helicobacter pylori status, lifestyle factors, and medication use EXPECTED IMPACT: Results will inform personalized surveillance strategies and optimize resource allocation for post-polypectomy follow-up.

Impact of Computer-aided Detection System on the Proximal Adenoma Miss Rate

This is a prospective, multicenter randomized controlled trial designed to determine whether the use of computer-aided detection system could reduce the miss rates of adenomas, SSLs, and polyps in the proximal colon during tandem colonoscopy.

Impact of Artificial Intelligence on Trainee Polyp Miss Rates

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.

Prospective Study of Colon Serrated 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.