Active clinical trials for "Colonic Polyps"

Freenome is using a type of artificial intelligence, called machine learning, to identify patterns of cell-free biomarkers in blood to detect cancer early. The purpose of this study is to develop and validate a blood-based assay to detect colorectal cancer by collecting blood and stool samples from healthy patients undergoing routine screening colonoscopy and from patients recently diagnosed with colorectal cancer or advanced adenomas.

Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, with rates of CRC predicted to increase. Colonoscopy is currently the gold standard of screening for CRC. Artificial intelligence (AI) is seen as a solution to bridge this gap in adenoma detection, which is a quality indicator in colonoscopy. AI systems utilize deep neural networks to enable computer-aided detection (CADe) and computer-aided classification (CADx). CADe is concerned with the detection of polyps during colonoscopy, which in turn is postulated to help decrease the adenoma miss-rate. In contrast, CADx deals with the interpretation of polyp appearance during colonoscopy to determine the predicted histology. Prediction of polyp histology is crucial in helping Clinicians decide on a "resect and discard" or "diagnose and leave strategy". It is also useful for the Clinician to be aware of the predicted histology of a colorectal polyp in determining the appropriate method of resection in terms of safety and efficacy. While CADe has been studied extensively in randomized controlled trials, there is a lack of prospective data validating the use of CADx in a clinical setting to predict polyp histology. The investigators plan to conduct a prospective, multi-centre clinical trial to validate the accuracy of CADx support for prediction of polyp histology in real-time colonoscopy.

The hypothesis of this study is that prophylactic coagulation therapy with coagulation forceps to visible vessels within the mucosal defect for colonic Endoscopic Mucosal Resection (EMR) will reduce the rate of delayed bleeding when compared with current established standard EMR technique.

This is a post-marketing, single-arm, prospective study investigating the use of GI Genius CADx device in the real-time characterization of colorectal polyps (i.e. prediction of their histology during the colonoscopy). Patients enrolled will undergo a standard white-light colonoscopy with the support of the latest version of the CE-marked GI Genius CADx device. Colonoscopy will be performed according to the standard practice.

Current guidelines recommend resection and histopathological analyses of all colorectal polyps. Real-time optical diagnosis can obviate non-neoplastic polyp resection ("diagnose-and-leave-behind") and histopathological analyses of diminutive polyps ("predict-resect-and-discard") reducing healthcare and cost burden. The investigators aimed to evaluate the diagnostic accuracy of computer-aided diagnosis using CAD EYE® (Fujifilm,Germany) in real-time optical characterization of colorectal polyps compared to endoscopic diagnosis with histopathology as the gold-standard. For this purpose, a single-centre prospective study of diminutive/small colorectal polyps is ongoing.

PURPOSE OF PROTOCOL Objective: To evaluate if the speedometer based on the real-time image analysis can help endoscopists increase their withdrawal time, which is defined as time spent examining the colon during withdrawal of the colonoscope, during colonoscopy. Hypothesis: The trial hypothesis is that use of the speedometer during colonoscopy will increase the average withdrawal time, which is defined as time spent examining the colon during withdrawal of the colonoscope, by 1.6 minutes, possibly increasing the performance of the participating endoscopists. Our objective is to clarify the clinical benefits of this digital tool in colonoscopy. Endpoint: Withdrawal time difference between colonoscopies done without the speedometer (control period) and colonoscopies done with the speedometer (intervention period).

Comparison of the number of adenomas missed by the first exploration of the right colon by LCI (linked color imaging) or by white light during a colonoscopy, according to the order of randomization.

The focus of the study is to evaluate impact on Adenomas Per Colonoscopy (APC) with a Computer Aided Detection (CAD) software assisting the gastroenterologist during a colonoscopy procedure.

Colonoscopy is the gold standard screening test for colorectal cancer. Removal of pre-malignant colon polyps during colonoscopy reduces colorectal cancer mortality by over 50%. However, while colonoscopy is highly effective at preventing distal (left sided) colon cancers, it provides only limited protection from cancer in the proximal (right side) colon. Our goal is to determine if additional pre-cancerous colon polyps can be identified by looking at the right side of the colon in retroflexion. During retroflexion the tip of the colonoscope is turned 180 degrees; allowing the doctor to view the backs of colonic folds. If additional polyps can be identified in this manner colonoscopy will become a more efficient method of screening for colon cancer. In order to evaluate how effective right colon retroflexion is at detecting polyps in the proximal colon we plan on performing a randomized, controlled trial. Patients undergoing screening or follow up colonoscopy will be invited to participate in the study. Those patients who agree to participate will be randomized into one of two groups once the colonoscope is fully inserted. Group one will have the right side of their colon examined for polyps with the endoscope looking forward (traditional form of examination) followed by repeat examination of the right side of the colon with the colonosocpe in retroflexion (looking backwards). Polyps seen during each section of the exam will be removed and manner in which the polyps were found/ removed will be recorded. Following the two exams of the right side of the colon the colonoscopy will be completed in the usual manner. The duration of each portion of colonoscopy will be recorded. After the procedure is completed the physician performing the colonoscopy will rate difficulty of the procedure and confidence with quality of the examination. Pathology results for each polyp will be recorded once available. There will be no study related follow up after the pathology results are recorded.

Current standard practice is to remove all colonic polyps found during colonoscopy as it has not been possible to distinguish between polyps with some malignant potential (adenomatous) and those with negligable malignant potential (non-adenomatous). Recent advances in endoscope imaging and technology have allowed endoscopists to distinguish between these two types of polyps by examining minute surface details. i-Scan is a new digital enhancement method that aims to enhance surface details and may enable similar accurate distinction between adenomatous and non-adenomatous polyps. Hypothesis: High definition white light endoscopy plus i-Scan improves diagnostic accuracy of in-vivo assessment of colonic polyps <10mm in size over high definition white light endoscopy alone.