View clinical trials related to Colorectal Adenoma.
Filter by:Investigating people with bowel symptoms uses a test that detects traces of blood in the stools, the FIT test. There are many possible reasons for positive tests. A few people have cancer. However, most participants with symptoms don't have any serious bowel disease but have benign problems such as piles or irritable bowel syndrome (IBS). It is very difficult to diagnose on symptoms alone, those participants who have serious bowel disease and those who do not. After a positive test, people are invited for colonoscopy - a sort of articulated tube that is passed up the bowel. Most people invited for colonoscopy don't have cancer. Only about 5% of those with positive FIT tests have cancer. About 25% have other bowel diseases, but most have nothing serious wrong at all. So they have the inconvenience and discomfort of colonoscopy but don't get any benefit from it. The investigators want to try adding another test, the volatile organic compound (VOC) test, to see if the investigators can separate those with positive FIT tests who do have something wrong, from those who don't. The VOC test uses a urine sample. Using both tests might also be better for detecting cancer. FIT alone misses about 20%. So the investigators think that using both tests might not only be better for detecting cancer, but also might mean that a lot of people will avoid having to have colonoscopy. This study will recruit 1,819 participants with bowel symptoms from NHS trusts in the UK. They will provide stool samples for FIT and urine for VOC analysis. They will have colonoscopy to get a definite diagnosis. Then the investigators will look at their FIT and VOC test results to see if in future, people with both tests negative.
Patients with poor inadequate bowel preparation need to undergo secondary colonoscopy. but the evaluation of intestinal cleanliness is judged by doctors subjectively. there are no objective and effective criteria to guide the evaluation. We use the deep learning technique to develop the EndoAngel with real-time intestinal cleanliness assessment. It can derive a decision curve for bowel cleanliness based on the relationship between the percentage of bowel segments with a Boston score of 1 and the adenoma detection rate. It can help doctors to identify patients who need a second colonoscopy, and provide a new way for artificial intelligence in improving the detection rate of colonoscopic adenomas.
The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures. The safety of Ultivision AI Software will also be assessed. A subset of the subjects will enter a roll-in period for clinical trial safety assessment. The remainder of subjects who are eligible will enter the detection phase which comprises a screening colonoscopy procedure. In the detection phase, subjects will be randomized to a screening colonoscopy with Ultivision AI Software enhancement or without AI Software enhancement. The study will measure the mean adenomas per colonoscopy procedure, as defined by the protocol, detected while receiving either treatment option.
This is a cross-sectional study aimed at identifying factors which best predicts patients at high risk of colorectal cancer or colorectal adenomas and to develop a risk prediction model.
In European countries, colorectal cancer (CRC) represents an important public health problem. It is widely held view that most carcinomas develop from an adenoma-carcinoma progression. Adenoma detection rate (ADR) is a marker of high quality colonoscopy and it was inversely associated with the risk of interval colorectal cancer, advanced-stage interval cancer, and fatal interval cancer after colonoscopy. Although colonoscopy is considered the gold standard for adenoma detection, it has shown some limits, so industry has aimed at increasing detection rate of adenomas providing new technologies, most of witch to detect lesions located in blind spots. ARC Endocuff Vision (AEV), the second generation of Endocuff, represents a new generation of these devices, thus assessing the diagnostic sensibility of ARC Endocuff Vision assisted colonoscopy (EAC) is an interesting challenge. Aim of the study is to compare ADR of EAC versus standard colonoscopy among FIT positive subjects in the context of CRC screening programs.
Natural killer cells (NK cells) are cytotoxic lymphocytes that play an important role in the innate immune system. In particular, it plays a very important defense function against host cells or cancer cells infected with a specific virus. Recent studies have shown that the activity of NK cells is decreased in patients with various carcinomas compared with normal controls, suggesting that the measurement of activity of NK cells in the blood may be helpful in the early diagnosis of cancer. In a recent study analyzing NK cell activity in 762 patients undergoing colonoscopy, NK cell activity showed performance in diagnosing advanced colorectal adenoma and colorectal cancer with sensitivities 42.2% and 85.7%, and specificity 58.3% and 59.5%, respectively. This finding suggests that NK cell activity may be useful as a screening method for colorectal neoplasms. However, as a single test, this diagnostic power is relatively low. On the other hands, another blood-based colorectal cancer screening test that using 29 gene panels algorithm has recently been reported. According to this study, 29 gene panel algorithms (Colox®) showed performance in diagnosing advanced colorectal adenoma and colorectal cancer with sensitivity of 55.4% and 79.5% and specificity of both 90.0%, respectively. for diagnosis of advanced adenoma and colorectal cancer, respectively. Although the Colox® test seems to be useful for the colorectal cancer screening using blood test, this diagnostic power is relatively low. In order to overcome low diagnostic performance of aforementioned tests (NK activity and Colox®) as a single use, combination of individual biomarkers can be a promising alternative. In this regards, the aim of this study was to evaluate the diagnostic value for predicting advanced colorectal neoplasms by combining Colox® and NK cell activity indicators.
It is a randomized controlled trial with tandem colonoscopy.Participants were randomized for use of either blue laser imaging or conventional White Light Colonoscopy on withdrawal method.comparison of detection and miss rates of BLI group Versus conventional White Light Colonoscopy.
For tough colic resection, evaluation of our practice for these lesions unresectable in monoblock and evaluation of the contribution of the hybrid technique EMR (mucosectomy dissection) /ESD (submucosal dissection)
This randomized phase II clinical trial studies how well MUC1 peptide-poly-ICLC adjuvant vaccine works in treating patients with newly diagnosed advanced colon polyps (adenomatous polyps). Adenomatous polyps are growths in the colon that may develop into colorectal cancer over time. Vaccines made from peptides may help the body build an effective immune response to kill polyp cells. MUC1 peptide-poly-ICLC adjuvant vaccine may also prevent the recurrence of adenomatous polyps and may prevent the development of colorectal cancer.
Calcium plus vitamin D may be effective in the prevention of colorectal adenoma recurrence. The aim of this study is to investigate the effect of supplementation with calcium plus vitamin D on the recurrence of colorectal adenomas.