View clinical trials related to Colorectal Adenomatous Polyp.
Filter by:This study aims to develop a highly sensitive, specific, and cost-effective blood assay for early detection of colorectal adenomas and cancer, using advanced machine learning and state-of-the-art biological analyses.
The study involves the planned use of a new microwave-based device during colonoscopy procedures in 50 patients to assess the performance and safety of its use for detection of colorectal polyps and lack of normal clinical practice modification. The device is a final design version, which has been previously tested in several preclinical studies (including phantom studies, an ex vivo study with human tissues, and an in vivo study with porcine model) and in a pilot study in humans (NCT05477836)
This phase I trial tests the safety, side effects, and best dose of Akt/ERK Inhibitor ONC201 (ONC201) in preventing colorectal cancer in patients with familial adenomatous polyposis (FAP) or a history of multiple polyps. ONC201 may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth.
The study involves the planned use of a new microwave-based device during colonoscopy procedures in a small group of patients to assess the preliminary safety of its use and lack of normal clinical practice modification. The device is a final design version, which has been previously tested in several preclinical studies, including: phantom studies, an ex vivo study with human tissues, and an in vivo study with animal model (pig).
The overall goal of this study is to develop a platform for both large-scale chemoprevention trials and real-world chemoprevention studies for colorectal cancer (CRC) prevention. The specific objectives of this proof of concept study are to: 1. Evaluate the feasibility of a real-world chemoprevention agent (CPA) intervention (3-months of daily low-dose acetylsalicylic (ASA)) in participants at increased risk for CRC (one or more high-risk adenomas removed during colonoscopy) based on participant uptake, adherence (days taking CPA), and adverse events; 2. Evaluate factors related to uptake and adherence of ASA using validated surveys and interviews.
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.
The primary objective is to compare the performance of Stool-based SDC2 DNA Methylation Test and commercially available Fecal Immunochemical Test(FIT) , on the detection rate of advanced adenomatous polyps and colorectal cancer in Chinese population. Subjects with positive results in either test will receive colonoscopy. Lesions will be confirmed as malignant or precancerous by colonoscopy and histopathologic examination.
This study is a prospective, single-arm, open-label, multi-center, feasibility study to evaluate the safety and efficacy of ColubrisMX ELS System in patients undergoing transanal endoluminal procedures, specifically colorectal Endoscopic Submucosal Dissection.
The primary objective is to determine the sensitivity and specificity of two Colorectal Cancer (CRC) screening methods, including stool DNA test and blood mRNA test, for colorectal cancer in Chinese population, with colonoscopy as reference method. Lesions will be confirmed as malignant or precancerous by colonoscopy and histopathologic examination. The secondary objective is to compare the performance of these two CRC screening methods to a commercially available FIT assay, both with respect to cancer and advanced adenoma. Lesions will be confirmed as malignant or precancerous by colonoscopy and histopathologic examination.
The aim of the present study is to develop and evaluate a computer-based methods for automated and improved detection and classification of different colorectal lesions, especially polyps. For this purpose first, pit pattern and vascularization features of up to 1000 polyps with a size of 10 mm or smaller will be detected and stored in our web based picture database made by a zoom BLI colonoscopy. These polyps are going to be imaged and subsequently removed for histological analysis. The polyp images are analyzed by a newly developed deep learning computer algorithm. The results of the deep learning automatic classification (sensitivity, specificity, negative predictive value, positive predictive value and accuracy) are compared to those of human observers, who were blinded to the histological gold standard. In a second approach we are planning to use LCI of the colon, rather than the usual white light. Here, we will determine, whether this technique could improve the detection of flat neoplastic lesions, laterally spreading tumors, small pedunculated adenomas and serrated polyps. The polyps are called serrated because of their appearance under the microscope after they have been removed. They tend to be located up high in the colon, far away from the rectum. They have been definitely shown to be a type of precancerous polyp and it is possible that using LCI will make it easier to see them, as they can be quite difficult to see with standard white light.