View clinical trials related to Adenoma.
Filter by:The study will compare the use of cold snare piecemeal resection (CSPR) vs cold endoscopic mucosal resection (Cold EMR). The study will include two cohorts: one cohort for conventional adenomas 10-19mm in size and one cohort for serrated lesions 10mm or larger.
Colorectal cancer is the most frequent tumor in our environment if both sexes are considered together. Every year almost 800 cases are diagnosed in the districts of Tarragona. A little more than half of colorectal cancers are cured with surgery, with or without the addition of complementary treatments with chemotherapy and/or radiation therapy. Those who are not cured is because at the time of diagnosis the disease has already spread or they spread after having been treated surgically with curative intent. The purpose of the EarlyCRC project is to determine whether metabolites (substances of low molecular weight) can be found in the urine and stool of patients with colorectal cancer or polyps that can be easily and cheaply differentiated (urine or stool analysis) between the patients affected by colorectal cancer or polyps, from healthy individuals. For the identification of these possible metabolites, the urine analysis will be performed using the usual techniques in metabolomics, which studies the existing metabolites in biological processes.
Growth Hormone (GH) is essential for maintaining fat, muscle, bone, and energy balance. Adult Growth Hormone Deficiency (GHD) affects about 0.3% of adults. GHD, common post-pituitary tumor surgery or radiotherapy, disrupts lipid metabolism, increasing triglycerides and low-density lipoprotein cholesterol while decreasing high-density lipoprotein cholesterol. This is especially severe in GH adenoma patients, whose lipid metabolism issues worsen post-surgery, increasing the risk of atherosclerosis. Fat accumulates in the liver first, making liver fat content a key early indicator of metabolic disorders, which can lead to diabetes and atherosclerosis. Early intervention is crucial as liver fat deposition in Nonalcoholic Fatty Liver Disease (NAFLD) is reversible. Recombinant human growth hormone can treat GHD-related lipid metabolism disorders, but research on its effects on liver fat in post-surgery GH adenoma patients is limited. The investigators plan to treat these patients with 1 mg/week of recombinant human growth hormone for 24 weeks, aiming to normalize insulin-like growth factor-1 levels. Liver fat content changes will be measured using proton magnetic resonance spectroscopy (1H MRS) and Fibroscan. Changes in weight, BMI, waist circumference, fasting blood glucose, blood lipids, and other metabolic factors will also be evaluated to assess treatment efficacy and safety. Zhongshan Hospital, affiliated with Fudan University, performs over 300 pituitary tumor surgeries annually, including 100 GH adenoma cases. The hospital has extensive experience and can enroll 40 patients. The Endocrinology Department excels in evaluating lipid metabolism disorders in NAFLD using non-invasive methods. As a major hospital in Shanghai, it has ample patients to meet study requirements. Detailed exit criteria and rescue plans have been established to address potential adverse events during the study.
Ampullary cancer, a rare malignancy, lacks standardized guidelines for effective multimodal treatment following curative resection. The opinions on whether postoperative chemotherapy can improve the long-term survival of ampullary adenocarcinoma (AA) are discordant. This aspect remains poorly studied, with comparably scant research conducted on it. log odds of positive lymph nodes (LODDS), a quantitative variable, can continuously and accurately reflect the burden of nodal involvement, which suggested a potential ability to identify AA patients benefiting from postoperative adjuvant chemotherapy (ACT). Therefore, Mainly focused issues of ACT addressed in the study are as follows: 1) the role of ACT in improving long-term survival for patients with AA after curative resection. 2) the role of LODDS in identifying postoperative AA patients benefiting from ACT. 3) compared with T and N classifications reported previously, the advantage of LODDS in identifying ACT-benefited patients. In this cohort study, a large scale of sample size was conducted by drawing on the collective experience of the National Cancer Center of China. The patients treated with radiotherapy were excluded to concentrate on the effect of ACT.
The objective of this study is to investigate the feasibility for the treatment of precancerous peri-ampullary FAP polyps in the duodenum using low-thermal argonplasma.
Patients aged >40 years who underwent elective colonoscopies were recruited from ten institutions. Patients with a history of colorectal cancer or long-term dietary interventions were excluded. Participants completed a food frequency questionnaire (FFQ) prior to endoscopy. FFQ data were analyzed using energy-, age-, sex-, and body mass index-adjusted models; the dietary supplemental omega-3 intake was analyzed separately. Colonoscopy outcome data, including the adenoma number, pathology, and location, were collected. Participants were stratified into omega-3 consumption quartiles to assess colorectal adenoma incidence trends using P for trend analysis.
In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control. This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control. This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study.
The goal of this study is determine the safety and tolerability of orally taken probiotic (R-5780) in patients currently on a PD-1 Pathway Checkpoint Inhibitor (checkpoint protein on immune cells called T cells) with Solid Tumors.
The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' baseline adenoma detection rate (ADR). The association between the AI derived EWT with ADR during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI
This study aims to develop a highly sensitive, specific, and cost-effective blood assay for early detection of colorectal adenomas and cancer, using advanced machine learning and state-of-the-art biological analyses.