Active clinical trials for "Adenoma"

Water method with water exchange has been shown to reduce medication requirement and pain experienced during colonoscopy. It increases the success rate of cecal intubation in sedated and unsedated patients undergoing screening colonoscopy. Exchange of water during scope insertion minimizes distension of the colonic lumen and decreases loop formation. Exclusion of air from the colon during insertion by omission of air insufflations and suction removal of residual air prevent elongation of the colon. These maneuvers facilitate colonoscopy insertion in average patients and may enhance the success of difficult colonoscopy. Prior abdominal or pelvic surgery is an independent factor for difficult colonoscopy, the probable adhesion may change the anatomy and increase the discomfort of patients. We postulate that these patients may benefit from using the water method for colonoscopy. In this proposal we test the hypothesis that compared with conventional air insufflations the water method with water exchange significantly enhances the success rate of cecal intubation in patients with prior abdominal or pelvic surgery. The aim of the study is to compare the outcome of colonoscopy using the water method versus the conventional air method in patients with prior abdominal or pelvic surgery. The primary outcome is cecal intubation success rate. The secondary outcomes include cecal intubation time, maximum pain score during colonoscopy, overall pain score after colonoscopy and adenoma detection rate.

Colonoscopy is clinically used as the gold standard for detection of colon cancer (CRC) and removal of adenomatous polyps. Despite the success of colonoscopy in reducing cancer-related deaths, there exists a disappointing level of adenomas missed at colonoscopy. "Back-to-back" colonoscopies have indicated significant miss rates of 27% for small adenomas (< 5 mm) and 6% for adenomas of more than 10 mm in diameter. Studies performing both CT colonography and colonoscopy estimate that the colonoscopy miss rate for polyps over 10 mm in size may be as high as 12%. The clinical importance of missed lesions should be emphasized because these lesions may ultimately progress to CRC8. Limitations in human visual perception and other human biases such as fatigue, distraction, level of alertness during examination increases such recognition errors and way of mitigating them may be the key to improve polyp detection and further reduction in mortality from CRC. In the past years, a number of CAD systems for detection of polyps from endoscopy images have been described. However, the benefits of traditional CAD technologies in colonoscopy appear to be contradictory, therefore they should be improved to be ultimately considered useful. Recent advances in artificial intelligence (AI), deep learning (DL), and computer vision have shown potential to assist polyp detection during colonoscopy.

The aim of the study is to assess accurancy of OCT angiography as a pronostic marker for patients undergoing neurosurgery for compressiver macroadenoma as compared with visual acuity, visual field and OCT.

Colonoscopy is a key technique in the detection and diagnosis of lower gastrointestinal diseases. High quality endoscopy results in better disease outcomes. However, the operant level of different endoscopists is significantly different.This study aims to construct a real-time quality monitoring system based on computer vision, named Endo.Angel, which is used to monitor the velocity of insertion of the endoscope, record the time of insertion and withdrawal of the endoscope, and remind endoscopists of the blind areas caused by intestinal segment slipping.

Adrenal vein sampling (AVS) is currently considered the gold standard for subtype diagnosis of primary aldosteronism (PA). However, the percentage of unsuitable procedures due to the unsuccessful cannulation of one of the two adrenal veins is still considerable, and there is no general consensus on the criteria that should be used for the interpretation of the results of an AVS study in these specific cases.

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

This study evaluates the structural parameters, by spectral domain optical coherence tomography (OCT), retinal vessel density, using OCT angiography, and visual acuity in patients that received endoscopic endonasal approach for the removal of an intra-suprasellar pituitary adenoma compressing the optic nerve.

The purpose of this study is the investigation of new host-microbiome interactions promoting adenoma formation and adenocarcinoma progression. For that purpose, the investigators will collect saliva, stool and colon biopsy specimens from patients referred to colonoscopy or surgical resection of colorectal tumor. Besides, a questionnaire about diet, lifestyle and medical history will be collected. Sample analysis will involve simultaneous characterization of host and microbiota genomic and transcriptomic components.

Background: Adrenal vein sampling (AVS) is the gold standard test for the subtyping of primary aldosteronism (PA). This procedure is hampered by unsuccessful bilateral cannulation of adrenal veins, which can occur in up to two thirds of the cases depending on the cutoff of the selectivity index used. The rapid intra-procedural cortisol assay (IRCA) can increase the rate of bilateral success of AVS. This can be proven using a randomized prospective study design approach. Aim: We will therefore evaluate if an IRCA-guided AVS strategy can increase the rate of selectivity and thus the success rate of adrenal vein catheterization. Methods: Consecutive patients with a biochemical diagnosis of PA, seeking surgical cure, will be randomized to undergo AVS according to an IRCA-sham or an IRCA-guided procedure. Experimental and endpoint will be the rate of bilaterally selective AVS studies as defined by a selective index cutoff > 2.00 value under baseline (unstimulated) conditions. With 100 patients submitted to AVS with a normal procedure and 100 patients undergoing AVS with IRCA, it has been estimated that the study has 82% power to detect a significant difference of 18% at a two-sided 0.05 significance level between arms. Expected results. Given this power we expect to the able to determine if IRCA is useful or not for improving the success rate of AVS. Given the current disastrous situation regarding the clinical use of AVS this will be a major accomplishment in the field of the subtyping of PA.

Current recommendations for colonoscopy screening programs usually involve patients older than 50 years of age. However, little is known about polyp or adenoma detection rates under 50. We compared these detection rates according to age in a large series of patients in common practice. Methods: All colonoscopies performed in 2016 in our unit were prospectively recorded. We determined adenoma detection rate (ADR), polyp detection rate (PDR), mean number of polyps (MNP), and advanced neoplasia detection rate (ANDR).