Active clinical trials for "Adenoma"

A randomized controlled crossover study to determine if narrow band imaging or white light endoscopy is superior in detecting right colonic polyps in average risk subjects undergoing screening colonoscopy

Colonoscopy continues to be the gold standard in detecting precancerous lesions in the colon. It relies on adequate visualization of the bowel wall to see and remove such lesions. Visualization is improved with luminal distention, and a multitude of studies have been done to determine ways to increase this luminal distention. The investigators theorize that positioning in the Right Lateral Decubitus rather than the Left Lateral Decubitus may be a cost free method to increase luminal distention and, hence, improve visualization in colonoscopy. In the Right Lateral Decubitus position, the sigmoid colon and cecum - both parts of the bowel that are not fixed - air used during colonoscopy will rise in a dependent fashion, increasing luminal distention. In the left lateral decubitus position, the bowel collapses, creating an often difficult area to maneuver and visualize. The investigators would like to compare both positions to determine if it affects outcomes in colonoscopy. In particular, cecal intubation rates and adenoma detection rates.

COLO-DETECT is a clinical trial to evaluate whether an Artificial Intelligence device ("GI Genius", manufactured by Medtronic) can identify more polyps (pre-cancerous growths of the bowel lining) during colonoscopy (large bowel camera test) than during colonoscopy without it.

To verify the correlation between the proposed artificial intelligence based bowel preparation assessment system and the missed detection rate of adenomas, and to evaluate whether the system can effectively assist doctors in identifying patients who need to be re-examined by colonoscopy due to poor intestinal cleanliness.

The goal of this cluster randomized multicenter controlled clinical trial (RCT) is to investigate whether a combined real time computer-aided polyp detection (CADe) and computer-aided polyp characterization (CADx) system (GI Genius, Medtronic) can increase the adenoma detection rate (ADR) and reduce the performance variability among endoscopists. Participants will be randomized (1:1) to either receive an AI-assisted colonoscopy (AIC) or a conventional colonoscopy (CC). If there is a comparison group: Researchers will compare the AIC-group and the CC-group to see if AIC can increase the ADR significantly.

The goal of this substudy is to investigate the accuracy of a computer-aided polyp characterization (CADx) system. The main question[s] it aims to answer are: • How high is the specificity of the AI system when characterizing colorectal polyps Participants will receive a standard colonoscopy, assisted by the artificial intelligence (AI) assisted system GI Genius. Researchers will compare the AI system´s characterization with the histopathology to see how accurate the system is.

This double blinded randomized controlled trial aims to assess the efficacy of a novel oral synbiotic formula (SMT04) in reducing adenoma recurrence and colorectal neoplasia-related bacterial gene markers after endoscopic resection of colorectal advanced neoplasia.

The incidence of colorectal cancer in China is increasing year by year. Studies have shown that colorectal cancer is more common in the left colon，especially in the China. Our previous study also showed a higher rate of missed adenoma in the left colon than the right colon during colonoscopy. Additionally, prolonging withdrawal time could only improve the ADR of right colon, but had limited effect on the ADR of left colon in our previous research. Our aim is to evaluate the effect of a second forward view examination of the left colon on the detection of adenoma detection during colonoscopy.

Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.

Adenoma detection rate (ADR) is a validated quality metric for colonoscopy with higher ADR correlated with improved colorectal cancer outcomes. Artificial intelligence (AI) can automatically detect polyps on the video monitor which may allow endoscopists in training to improve their ADR. Objective and Purpose of the study: Measure the effect of AI in a prospective, randomized manner to determine its impact on ADR of Gastroenterology trainees.