View clinical trials related to Adenoma.
Filter by:Background: Colonoscopy is accepted to be the gold standard for screening of colorectal cancer (CRC). Most CRCs develop from adenomatous polyps, with colonoscopy accepted to be the gold standard for screening of CRC. An endoscopist's ability to detect polyps is assessed in the form of an Adenoma Detection Rate (ADR). Each 1.0% increase in ADR is associated with a 3.0% decrease in the risk of the patient developing an interval CRC. There remains a wide variation in endoscopist ADR. More recently, the use of artificial intelligence (AI) and computer aided diagnosis in endoscopy has been gaining increasing attention for its role in automated lesion detection and characterisation. AI can potentially improve ADR, but previous AI related work has largely focused on retrospectively assessing still endoscopic images and selected video sequences which may be subject to bias and lack clinical utility. There are only limited clinical studies evaluating the effect of AI in improving ADR. The CADDIE device uses convolutional neural networks developed for computer assisted detection and computer assisted diagnosis of polyps. Primary objective: To determine whether the CADDIE artificial intelligence system improves endoscopic detection of adenomas during colonoscopy. Primary endpoint: The difference in adenoma detection rate (ADR) between the intervention (supported with the CADDIE system) and non-intervention arm Study design: Multi-Centre, open-label, randomised, prospective trial to assess efficacy and safety of the CADDIE artificial intelligence system for improving endoscopic detection of colonic polyps in real-time.
Clinical studies have shown that patients with right-sided colon cancer have reduced progression-free and overall survival compared to patients with left-sided colon cancer. At the same time, patients with right-sided colon adenomas have a higher risk of developing interval cancers after endoscopic mucosal resection. Dysbiosis and known bacterial drivers play a significant role in the carcinogenesis of colorectal cancer, and may contribute to the growth of adenomas. Clinical studies have found biofilm formation and positive staining for Fusobacterium nucleatum (FN) in almost all right-sided colon cancers and adenomas. The composition of bacteria also in the normal mucosa in these two groups of patients has been found to be different from healthy controls. Endoscopic preoperative antibiotic local treatment of the biofilm and tumors would theoretically result in decreased tumor mass, recovery of the mucosa, and a normalization of the immune response in the treated section of the colon. The oral administration of the antibiotic metronidazole in mice has shown to lower the tumor load (FN-positive xenograft tumors) and decrease in intratumoral abundance of the pro-carcinogenic bacteria, FN. The aim of this study is to investigate the effect of local antibiotic treatment with fosfomycin and metronidazole on tumor characteristics and the colonic biofilm in patients with right-sided colon cancer or right-sided colon adenomas. This is a clinical proof-of-concept intervention study, and the investigators are to our knowledge the first group to look into local antibiotic treatment of biofilm in patients with colon cancer or colon adenoma. It is based on a non-randomized trial design with an open label single group assignment. There are two tracks depending on the pathology of the tumor: 1) patients with right-sided colon cancer; 2a) patients with right-sided colon adenoma. The intervention is a therapeutic endoscopy where the antibiotics fosfomycin and metronidazole are sprayed throughout the right colon section from caecum to the right colon flexure (100ml of gel contains 800mg of fosfomycin and 200mg of metronidazole). Patients will be included prospectively from the surgical department of Herlev University Hospital and Zealand University Hospital once having received oral and written information, followed by signing the consent. There will be a retrospective cohort of patients with colon adenoma from 2018 (track 2b). The investigators will retrieve the archived adenoma tissue as control tissue. In Clinical Trial, Track 1 and Track 2a will be registered as two different arms that use the same intervention, but the results from each arm later on is going to be reported in separate publications.
This is a Phase 3, randomized, double-blind, placebo-controlled study to assess the efficacy, and safety of relacorilant to treat hypercortisolism in patients with cortisol-secreting adrenal adenoma or hyperplasia associated with diabetes mellitus/ impaired glucose tolerance and/or uncontrolled systolic hypertension.
This study describes a single center, randomized, single-blinded clinical trial to assess the clinical benefits of the use of near infrared autofluorescence (NIRAF) detection with an FDA-cleared device 'Parathyroid Eye (PTeye)' for identifying parathyroid glands (PGs) during parathyroidectomy (PTx) procedures. It compares risk-benefits and outcomes in PTx patients where NIRAF detection with PTeye for parathyroid identification is either used or not used.
This is a prospective multi-center randomized study is to determine whether the use of artificial intelligence (AI)-assistance could reduce the miss rates of polyps and adenomas in the proximal colon during tandem examination
The primary objective is to determine the diagnostic sensitivity and specificity of the newly developed multitarget FIT-DNA Colorectal Cancer (CRC) screening test (ColoClear) for detecting advanced neoplasia (including colorectal cancer and advanced adenomas) in high risk patients, using colonoscopy as the reference method. The secondary objective is to compare the screening performance of the multitarget FIT-DNA test with commercially available FIT (Fecal Immunochemical Test) assay in detecting advanced neoplasia.
This study planned to investigate the effects of aerobic training combined with strengthening training and yoga on biochemical factors, physical performance and quality of life in people with pituitary adenoma. The hypotheses are; H1: Aerobic training combined with strengthening training is effective on biochemical factors in people with pituitary adenoma. H2: Aerobic training combined with strengthening training is effective on physical performance in people with pituitary adenoma. H3: Aerobic training combined with strengthening training is effective on quality of life in people with pituitary adenoma. H4: Yoga is effective on biochemical factors in people with pituitary adenoma. H5: Yoga is effective on physical performance in people with pituitary adenoma. H6: Yoga is effective on quality of life in people with pituitary adenoma. H7: Aerobic training combined with strengthening training and yoga is effective on biochemical factors, physical performance and quality of life in people with pituitary adenoma.
This phase II trial studies how well hypofractionated proton or photon radiation therapy works in treating patients with brain tumors. Hypofractionated radiation therapy delivers higher doses of radiation therapy over a shorter period of time and may kill more tumor cells. A shorter duration of radiation treatment may avoid some of the delayed side effects of radiation while providing a more convenient treatment and reducing costs.
Preoperative evaluation of cavernous sinus invasion by pituitary adenoma is critical for performing safe operation and deciding on surgical extent as well as for treatment success. Because of the small size of the pituitary gland and sellar fossa, determining the exact relationship between the pituitary adenoma and cavernous sinus can be challenging. Performing thin slice thickness MRI may be beneficial but is inevitably associated with increased noise level. By applying deep learning based denoising algorithm, diagnosis of cavernous sinus invasion by pituitary adenoma may be improved.
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 CRC. 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. Average experienced endoscopists (each having performed <2000 screening colonoscopies) will perform the endoscopic procedure.