Active clinical trials for "Adenoma"

The study aimed to explore the independent risk factors for the metachronous colorectal adenoma after endoscopic resection, and construct the prediction model of metachronous colorectal adenoma, in order to provide theoretical basis for postoperative follow-up time of patients, and allocate limited medical resources.

The study aimed to analyze the risk factors of colorectal advanced adenoma and constructe a model to predict the high-risk individuals of harbouring colorectal advanced adenomas, so as to better identify screening participants and provide an important theoretical basis for the prevention of colorectal cancer.

The first proton therapy treatments in the Netherlands have taken place in 2018. Due to the physical properties of protons, proton therapy has tremendous potential to reduce the radiation dose to the healthy, tumour-surrounding tissues. In turn, this leads to less radiation-induced complications, and a decrease in the formation of secondary tumours. The Netherlands has spearheaded the development of the model-based approach (MBA) for the selection of patients for proton therapy when applied to prevent radiation-induced complications. In MBA, a pre-treatment in-silico planning study is done, comparing proton and photon treatment plans in each individual patient, to determine (1) whether there is a significant difference in dose in the relevant organs at risk (ΔDose), and (2) whether this dose difference translates into an expected clinical benefit in terms of NormalTissue Complication Probabilities (ΔNTCP). To translate ΔDose into ΔNTCP, NTCP-models are used, which are prediction models describing the relation between dose parameters and the likelihood of radiation-induced complications. The Dutch Society for Radiotherapy and Oncology (NVRO) setup the selection criteria for proton therapy in 2015, taking into account toxicity and NTCP. However, NTCP-models can be affected by changes in the irradiation technique. Therefore, it is paramount to continuously update and validate these NTCP-models in subsequent patient cohorts treated with new techniques. In ProTRAIT, a Findable, Accessible, Interoperable and Reusable (FAIR)data infrastructure for both clinical and 3D image and 3D dose information has been developed and deployed for proton therapy in the Netherlands. It allows for a prospective, standardized, multi-centric data from all Dutch proton and a representative group of photon therapy patients.

The goal of this multicenter, observational, analytic, randomized clinical trial is to analyze the laparoscopic and robot-assisted method in the surgical treatment of patients with adrenal diseases. The main question it aims to answer are: to find the superiority of one the the surgical method mentioned above to compare the quality of life in patients with adrenal mass before surgery and after laparoscopic or robotic-assisted adrenalectomy.

This research study is creating a way to collect and store specimens and information from participants who may be at an increased risk of developing cancer, or has been diagnosed with an early phase of a cancer or a family member who has a family member with a precursor condition for cancer. The objective of this study is to identify exposures as well as clinical, molecular, and pathological changes that can be used to predict early development of cancer, malignant transformation, and risks of progression to symptomatic cancer that can ultimately be fatal. The ultimate goal is to identify novel markers of early detection and risk stratification to drive potential therapeutic approaches to intercept progression to cancer.

Bowel cancer, a significant problem in the United Kingdom (UK) with ~ 41,000 diagnoses and ~ 16,000 deaths annually, has a large preventable component (~54%). It is, in part, due to energy imbalance within bowel cells as suggested by associated risk factors: high-fat diet, obesity, physical inactivity and type 2 diabetes mellitus. Drugs that decrease bowel cancer risk, like aspirin and metformin, may prevent the disease by mimicking the molecular effects of dietary restriction and exercise. Energy imbalance, through obesity, expands stem cells which may increase bowel cancer. We have shown that aspirin activates an energy molecule, which increases when we exercise, and blocks signalling associated with obesity in bowel cancer. Indeed aspirin in combination with metformin (commonly used in diabetes) has a greater effect on this pathway than either drug alone. To predict which patients may benefit from aspirin and metformin, we need to discover if these drugs may mimic healthy lifestyle changes at a cellular level and which cells are being targeted. This project investigates how aspirin and metformin influence energy molecules in bowel cells to mimic beneficial effects of exercise or dietary restriction. Participants, recruited from Western General Hospital (Edinburgh) colorectal clinics, will have bowel lining and blood samples take initially and then depending on their assigned cohort, after; 24 hours, 7 days, 28 days or a 6-week course of aspirin, metformin or both tablets. Samples will be analysed for energy genes (main outcome). Secondary outcomes will measure effects on quantitative faecal immunochemical tests (qFIT), used to detect blood in the stool, and on gut bacteria. This critical research will inform how aspirin and metformin can be used in specific populations to decrease bowel cancer risk and to develop new drugs to target abnormal energy pathways.

The overall goal of this study is to develop a platform for both large-scale chemoprevention trials and real-world chemoprevention studies for colorectal cancer (CRC) prevention. The specific objectives of this proof of concept study are to: Evaluate the feasibility of a real-world chemoprevention agent (CPA) intervention (3-months of daily low-dose acetylsalicylic (ASA)) in participants at increased risk for CRC (one or more high-risk adenomas removed during colonoscopy) based on participant uptake, adherence (days taking CPA), and adverse events; Evaluate factors related to uptake and adherence of ASA using validated surveys and interviews.

This phase II trial studies how well Polyphenon E works in treating patients with high-risk of colorectal cancer. Polyphenon E contains ingredients that may prevent or slow colorectal cancer.

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.

This phase I/II clinical trial is studying the side effects and best dose of gamma-secretase inhibitor RO4929097 and to see how well it works in treating young patients with relapsed or refractory solid tumors, CNS tumors, lymphoma, or T-cell leukemia. Gamma-secretase inhibitor RO4929097 may stop the growth of cancer cells by blocking some of the enzymes needed for cell growth.