View clinical trials related to Adenoma.
Filter by:Clinically nonfunctioning pituitary adenoma remains the only pituitary tumor subtype for which no effective medical therapy is available or recommended. We will evaluate the use of cabergoline in a clinical trial, in order to define the efficacy of this treatment in nonfunctioning pituitary adenoma.
The purpose of this study is to compare the preparation quality by using Ottawa Bowel Preparation Scale between the standard PEG preparation and the addition of water enema in participants scheduled for CRC screening
Estimate the impact of a 6‐week daily intake of 2000 mg of ginger extract on the composition of the gut microbiome using a randomized placebo-controlled double-blinded design, i.e. examine the change of microbiome over time within and between the subjects..
The aim of this study was to determine whether segmental re-examination of the each segment (right colon, mid-colon, and left colon) could increase the proximal adenoma detection rate (ADR) and to evaluate the time-effectiveness of this approach.
A randomised back to back study comparing cap and Endocuff to detect adenomas during colonoscopy
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.
Over the last years a number of new endoscopic imaging modalities have been introduced (high-definition and virtual chromoendoscopy). Given the theoretical advantage of these new imaging techniques, the investigators aimed to investigate their use for the detection of polyps during colonoscopy.
When a polyp is found, we begin to wash it and observe it with OE mode 1.Then,the endoscopist gives a real-time optical diagnosis and the future surveillance interval.Finally,the polyp will be resected for the biopsy.
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.
We plan to conduct a randomized trial of tandem colonoscopies comparing water infusion and air insufflation for inspection of mucosa on withdrawal. In one randomized group, water infusion will be employed as the first method for mucosal inspection while in a second group, CO2 insufflation will be used first. This study will be different than usual care since the participants will receive two successive or tandem colonoscopies versus one