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Polyps of Colon clinical trials

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NCT ID: NCT06180798 Recruiting - Polyps Clinical Trials

Cold Snare Endoscopic Mucosal Resection (C-EMR) Versus Hot Snare Endoscopic Mucosal Resection (H-EMR) for Large Colorectal Polyps (10-20 mm)

Start date: January 10, 2024
Phase: N/A
Study type: Interventional

OBJECTIVES The aim of the study is to compare the efficacy of cold snare EMR versus hot snare EMR for non-pedunculated polyps 10-20mm in size with respect to complete resection rates and adverse events. DESIGN : A Randomised interventional study. Sample size: 330

NCT ID: NCT05121805 Recruiting - Polyps of Colon Clinical Trials

Recurrences After Standard EMR vs Plus Thermal Ablation EMR

RESPECT
Start date: March 17, 2022
Phase: N/A
Study type: Interventional

The primary objective of this trial is to investigate whether thermal ablation EMR with soft tip snare coagulation (STSC) reduces the recurrence rate of lateral spreading or sessile polyps ≥20mm compared to standard EMR.

NCT ID: NCT04441580 Recruiting - Rectal Neoplasms Clinical Trials

Assessing the Additional Neoplasia Yield of Computer-aided Colonoscopy in a Screening Setting

GENIAL-CO
Start date: May 4, 2020
Phase: N/A
Study type: Interventional

Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis. The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).