View clinical trials related to Adenoma.
Filter by:This study aims to establish a multicenter registry platform to capture clinical data from subjects undergoing colorectal EMR and ESD.
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.
A study of carcinogenesis-related molecular markers in the patients with colorectal cancer and colorectal adenoma.
This study is to determine how the Mainz Biomed Colorectal Cancer Screening Test works when used in people aged ≥45 years of age and at an average risk of developing colorectal cancer.
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.
This is a prospective, multicenter, randomized study to evaluate the clinical performance of a novel CADe device, WISE VISION® Endoscopy System, in patients undergoing high-definition white light (HDWL) colonoscopy for screening or surveillance of colorectal Cancer (CRC). Eligible subjects who meet the study inclusion/exclusion criteria will be randomized in a 1:1 ratio to undergo colonoscopy : - Experimental: CADe colonoscopy procedure with WISE VISION® Endoscopy (CADe Group) - Control: Standard Colonoscopy without CADe (Standard Colonoscopy Group)
This originated as an observational study of Kaiser Permanente Northern California (KPNC) patients with a history of adenoma diagnosed by colonoscopy who received a subsequent surveillance colonoscopy between 2014 and 2019. The original goal of the study was to develop a risk prediction model that would help identify patients at highest risk for a diagnosis of advanced neoplasia (colorectal cancer and/or advanced adenoma) at or within 6 months following their surveillance colonoscopy. Candidate predictors of interest included patient demographics, medical history, and details related to the index colonoscopy. The investigators are now at the implementation stage and applying the risk prediction model to patients awaiting surveillance colonoscopy at select KPNC service areas to help identify those at highest risk for colorectal cancer based on their risk scores.
Colorectal cancer is the 2nd most common cause of death by cancer. Screening is therefore essential, with a positive impact for prevention, and in the visualization and removal of colonic adenomas, pre-cancerous lesions of colorectal cancer. The colonic adenoma detection rate (CADR), the gold standard for colonoscopy screening and screening studies, is the ratio of the number of colonoscopies with at least one histologically verified colonic adenoma to the total number of colonoscopies performed in a center. It varies between 25 and 45% depending on the center. There is a large inter-operator CADR variability, which has been linked to an increased incidence and excess mortality in colorectal cancers. To improve this detection rate, several innovative techniques have been developed: The endoscopic cap helps improve this detection rate: it is a 2cm tip with double row of plastic wings, fixed to the distal end of the colonoscope, which acts by unfolding the colonic haustrations allowing a better visualization of adenomas, and more particularly those of sessile morphology and sigmoidal location. Several multicenter studies have shown an improvement in the adenoma detection rate with this device compared to screening colonoscopy alone, with an adenoma detection rate optimization of 14%. Since then other devices, such as the Endocuff, have emerged with comparable efficacy. The Medtronic© GI GENIUS system integrates artificial intelligence (AI) to assist in the detection of polyps. It automatically identifies these precancerous lesions in real time. The study investigators previously performed a retrospective pilot study (COLODETECT), comparing colonoscopy alone as a control group, against AI alone and against the combined cap + AI. This study showed encouraging results in terms of colonic adenoma detection rate (60% for the AI + cap group versus 37% for the AI alone group versus 33% for the colonoscopy alone group, p=0.037) However, it requires a higher level of evidence to be validated in practice. This prospective COLODETECT2 study estimated an a priori expected difference between A.I. - Cap and A.I. alone of about 15% CADR. The GI GENIUS artificial intelligence system and the ENDOCUFF VISION endoscopic cap have separately proven their effectiveness in terms of colonic adenoma detection compared to colonoscopy alone. However, some limitations remain: existence of false positives (mucosal folds, residues), some morphological types still difficult to recognize (scalloped adenomas), non visualized colonic lesions. This study therefore focuses on the possible complementarity of these 2 medical devices, in order to maximize the detection rate of colonic adenomas, and thus overcome the limitations of these two techniques by optimizing the visualization of these precancerous lesions, and consequently increasing the impact of colorectal cancer screening. The study authors hypothesize that the combination of GI GENIUS™ AI coupled with the ENDOCUFF VISION® endoscopy cap provides a better colonic adenoma detection rate (CAD) during colonoscopy than either GI GENIUS™ AI alone or the ENDOCUFF VISION® cap alone.
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.
To evaluate the accuracy and effectiveness of a novel screening method based on plasma multi-omics combining with artificial intelligence in a large prospective cohort for the detection of colorectal cancer and advanced adenomas.