View clinical trials related to Adenoma.
Filter by:Our previous study (Am. J. Gastroenterol. 2017 04;112(4)) showed that water exchange (WE) colonoscopy was able to increase the detection of flat adenomas as well as overall ADR. We hypothesized that WE based whole-colon acetic acid（AA） staining might be useful to improve the detection of flat lesions compared with WE alone.
An artificial intelligence-based system, named EndoAngel,has been constructed previously,which has polyp detection and quality monitoring functions. This study aims to evaluate the two different functions of EndoAngle in improving adenoma detection rate.
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.
Majority of patients with hypertension have primary hypertension (without an underlying cause). Primary aldosteronism (PA) is the most common cause of secondary hypertension, and can be found in 5-10% of patients locally. PA is caused by excessive release of a hormone (aldosterone) from the adrenal glands, which can be unilateral (one gland) or bilateral (both glands). It has been shown that excess aldosterone has other harmful effects in addition to hypertension, such as directly affecting the heart, blood vessels, kidneys, leading to increased cardiovascular morbidity and mortality. This is supported by studies showing reversal of these effects after treatment for PA. The investigators aim to assess the long-term cardiovascular, and renal outcomes of patients with PA, compared to patients with essential hypertension.
To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or FOBT) and the advantage of AI-assisted colonoscopy has not been investigated. There is also a lack of information of the benefit of AI-assisted colonoscopy in experienced colonoscopist versus trainee/resident.
In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
Background: Cushing s disease is caused by excess ACTH hormone release by a benign tumor of the pituitary gland. It can lead to decreased quality of life and early death. The current best treatment for Cushing s disease is surgery. If surgery does not work or if the tumor returns, there are no more good treatment options. Vorinostat, which is approved to treat a type of lymphoma, might be a treatment option. Objective: To test vorinostat to see if it can kill tumor cells and change the number of hormones released in people with Cushing s disease. Eligibility: People ages 18 and older who have Cushing s disease and are scheduled for surgery under protocol 03-N-0164 to remove a tumor in their pituitary gland Design: Participants will be screened under protocol 03-N-0164. Participants will stay in the hospital for 8 days before their surgery. On the first day, participants will have a physical exam and blood tests. They will have their urine collected for testing all day. They will have an ECG: For this, small metal disks or sticky electrode pads will be placed on their chest to record heart activity. For the next 7 days, participants will have blood tests and all-day urine collection. They will drink at least 2 liters of fluid per day. They will take the study drug by mouth each morning. On the eighth day, participants will have their surgery. Leftover tissue will be collected for research. On the day they are discharged from the hospital, participants will have a physical exam and blood tests.
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.
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.