View clinical trials related to Adenoma Colon.
Filter by: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.
Colonoscopy screening is proven to reduce mortality rates for colorectal cancer, which relies on early detection and removal of colonic polyps. AmplifEYE is a FDA-approved device with a row of flexible detection arms attached to the tip of colonoscope which can separate colonic folds during scope withdrawal and is believed to improve polyp detection. Real-life clinical data on this relatively new device is lacking and this study aims to compare the adenoma and polyp detection rates in AmplifEYE-assisted colonoscopy versus standard colonoscopy.
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.
The aim of the study is to develop a computer program which is able to classify different entities of colorectal polyps on the basis of optical polyp features. In the end, the computer program shall differentiate between (i) hypeplastic polyps, (ii) adenomas and (iii) serrated adenomas . In the first phase of the study a computer program will be established which aims to distinguish between the above mentions entities on the basis of optical features derived from still images. A machine learning apporach will be used for creating the program. Afterwards, in a second phase of the study, still images of 100 polyps (not used in the first phase) will be presented to the computer program. Quality of the computer program will be tested by calculating the accuracy for differentiating the three different polyp types. The gold standard for true polyp diagnoses will be based on histopathological diagnoses of the polyps. The same pictures of 100 polyps will also be presented to human experts. Experts will also predict histopathological diagnoses on the basis of optical polyps featurs. Accuracy of computer-decisions and human expert predictions will be compared. The establishment of a well- functioning computer program is the primary aim of the study.
Evaluation of colonoscopy with a specific device for the detection of adenomas: Multicenter, prospective and randomized study
Colorectal cancer (CRC) is the third most common type of cancer among men and the second among women in Brazil. Despite the high incidence and significance of CRC in Brazil, very little is known about its prevalence among the asymptomatic population. Recently, a CRC screening program was implemented at the Cancer Hospital of Barretos. Characterization of the clinical findings detected in the screening population and the prevalence of basal CRC might contribute to better organization of the program and define the best strategy for a future national screening program. We hypothesize that recruitment and the early outcomes of our screening program based on the fecal immunochemical test (FIT) will differ from the outcomes corresponding to other populations due to sociodemographic differences. Aims: i. To implement a data collection and storage system for follow-up of the screening program participants and to measure early outcomes (adenoma, advanced adenoma and cancer) and associate them with sociodemographic risk factors; ii. to quantify the risk of CRC in the Brazilian population and to develop algorithms for risk stratification of CRC screening; and iii. to compare the risk stratification to other countries with low, medium and high incomes. Methods: Individuals aged 50 to 65 years will be included in the HCB screening program from November 2017 to December 2018. The following data will be collected from all participants: sociodemographic and ethnic (skin color) characteristics; risk factors for CRC, such as smoking and drinking; comorbidities, including diabetes mellitus and arterial hypertension; and FIT, colonoscopy and histopathology examination results. Data collection will be performed using the REDCap data collection/database system. The risk score will be formulated using the Chi-square test (or Fisher's exact test) and simple logistic regression, and the regression coefficients will be calculated. Then, the model identified for the training sample will be replicated with a validation sample. The resulting score will be used to calculate the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, area under the receiver operating characteristic (ROC) curve and Kolmogorov D statistic.
The accuracy of real-time histology prediction (hyperplastic vs. adenomas) of colonic polyps using white light high-definition endoscopes is suboptimal. Blue laser imaging (BLI) is a new system for image-enhanced endoscopy using laser light, that is incorporated in the last generation Fuji high- definition videocolonscopes ELUXEO. Blue laser imaging (BLI) utilizes two monochromatic lasers instead of xenon light: a 410 nm laser visualizes vascular microarchitecture, similar to narrow band imaging, and a 450 nm laser provides white light by excitation.This system should enhance the microvascular pattern of superficial lesions, making the histological prediction easier. Aim of the study is to compare the accuracy of white light and BLI systems in real-time histology prediction of colonic polyps. For this purpose all colonscopies will be performed in a standard fashion using white light. When a polyps <10mm in size will be identified, patients will be randomized in two groups. In the Group 1 (White Light Grroup), all polyps <10mm will be evaluated with white light and prediction of histology (hyperplastic versus adenomatous) will be made by means of white light. In the Group 2 (BLI Group) , all polyps <10mm in size will be evaluated with BLI and scored as hyperplastic (type 1) or adenomatous (type 2) by applying the NICE (Narrow-band Imaging International Colorectal Endoscopic) classification, indicating color/vessel/surface pattern. The level of endoscopist's confidence in predicting histology (high or low confidence) for any polyp will be also recorded. Diagnostic performances of the endoscopists (sensitivity, specificity, positive and negative predictive values) will be calculated comparing endoscopist's prediction and pathology report, considered as reference standard in both study groups in order to evaluate the accuracy of real-time histology prediction by using BLI or white light.
This is a prospective randomised controlled trial to assess an intervention of inspection during both phases of colonoscopic examination ( insertion and withdrawal) improve adenoma detection rate when compared to inspection only during withdrawal.
This study is evaluating the effect of adding a high dose of simethicone to the standard polyethylene glycol preparation for screening colonoscopy in the quality of the preparation , adenoma detection rate and withdrawal times.