Active clinical trials for "Gastrointestinal Neoplasms"

This is a pilot study aiming to investigate the ability of a novel Optical Coherence Tomography (OCT) probe in assessing the different layers of the gastrointestinal tract and the depth of invasion of early neoplasia, utilising surgically and endoscopically resected specimens

The purpose of this study is to collect and store normal and malignant tissue from patients with gastric cancer, GIST, esophageal cancer, pancreas cancer, hepatocellular cancer, biliary cancer, neuroendocrine, peritoneal mesothelioma, anal cancer and colorectal cancer, an estimated 50 to 100 of each tumor type. To collect and store blood samples from patients with gastric cancer, GIST, esophageal cancer, pancreas cancer, hepatocellular cancer, biliary cancer, neuroendocrine, peritoneal mesothelioma, anal cancer and colorectal cancer. To create a database for the collected tissue and allow access to relevant clinical information for current and future protocols. To create tissue microarrays for each gastrointestinal cancer subtype, namely, gastric cancer, GIST, esophageal cancer, pancreas cancer, hepatocellular cancer, biliary cancer, neuroendocrine, peritoneal mesothelioma, anal cancer and colorectal cancer, to facilitate future molecular studies. To grant access to Dr Kindler, Dr. Salgia, and Dr. Catenacci to this database (as it is being acquired) of the coupled patient tissue samples (normal and malignant) and relevant clinical information for the investigation of tyrosine kinases, such as Met and Ron, receptor tyrosine kinase family members, STATs, paxillin, focal adhesion proteins, cell motility/migration proteins, tyrosine/serine/threonine kinase family members, related molecules, and downstream targets implicated in the pathogenesis of GI cancers. Examples of molecular testing include evaluation of DNA mutation, alternative splice variants, protein expression and phosphorylation, and immunohistochemistry on samples. These studies will be correlated with clinical information as stated above.

The clinical trail of Cinobufacini injection combined with Oxaliplatin regimen on gastrointestine carcinoma.This trail is randomized controled.Patients are diagnosed gastrointestinal cancer based on pathology or cell biology.They are randomized into 2 groups:both groups receive Oxaliplatin regimen.The treatment group receives Cinobufotalin 20ml mixed with 5% Glucose injection 500ml from the first day of chemotherapy until seven days in addition to the chemotherapy.The control group only receive the same chemotherapy with the treatment group.Both group have the same adjuvant therapy.Mainly to study of oxaliplatin into Cinobufacini injection leads to the influence of the peripheral nerve toxicity.Clinical evaluation includes neural electrophysiological test,chemotherapy drug toxicities,quality of life(QOL),etc.Blood biochemistry tests mainly include inflammatory cytokines,peroxidase reaction,immune cell number ratio and stress hormone,etc.

Deep learning technology has an increasing role in medical image applications and, recently, an artificial intelligence device has been developed and commercialized by Medtronic for identification of polyps during colonoscopy (GI-GENIUS). This kind of computer-aided detection (CADe) devices have demonstrated its ability for improving polyp detection rate (PDR) and the adenoma detection rate (ADR). However, this increase in PDR and ADR is mainly made at the expense of small polyps and non advanced adenomas. Colonoscopies after a positive fecal immunochemical test (FIT) could be the scenario with a higher prevalence of advanced lesions which could be the ideal situation for demonstrating if these CADe systems are able also to increase the detection of advanced lesions and which kind of advanced lesions are these systems able to detect. The CADILLAC study will randomize individuals within the population-based Spanish colorectal cancer screening program to receive a colonoscopy where the endoscopist is assisted by the GI-GENIUS device or to receive a standard colonoscopy. If our results are positive, that could suppose a big step forward for CADe devices, in terms of definitive demonstration of being of help for efectively identify also advanced lesions.

A randomized, controlled study investigating the potential benefits of artificial intelligence (AI) in the detection of colonic polyps during outpatient colonoscopy. Randomization between the use of AI and no AI is performed before the study procedure.

The goal of this study is to learn more about the symptoms that may occur in patients with GI cancer. The types of GI cancer being studied are cancers of the stomach, liver, pancreas, colon, and rectum. Researchers want to test a newly-designed questionnaire called the M. D. Anderson Symptom Inventory - Gastrointestinal (MDASI-GI) questionnaire.

The purpose of this study is to assess the effectiveness of exercise therapy for patients undergoing neoadjuvant chemotherapy for primary gastrointestinal (GI) tract cancer, providing a reproducible exercise regimen designed to improve or preserve aerobic fitness, strength, and quality of life. In addition, this study will address shifts in healthcare delivery needed as a result of the coronavirus disease 2019 (COVID-19) pandemic, evaluating the effectiveness of telehealth instruction as a method for exercise therapy. The study hypotheses are: To evaluate the effectiveness of exercise therapy for cancer patients undergoing neoadjuvant treatment when delivered via telehealth, as compared to an in-person setting. To assess stair test instrumentation, previously validated in a healthy population, as a measure to gauge health status in cancer patients undergoing neoadjuvant treatment. To assess patient satisfaction with exercise therapy when delivered via telehealth, as compared to an in-person setting.

The goal of this research study is to evaluate a program that involves remote electronic monitoring of vital signs and symptoms of patients with gastrointestinal cancer who were recently hospitalized at Massachusetts General Hospital or presented to the oncology clinic for an unplanned, urgent visit.

The aim of this study is to evaluate the efficacy of a neoadjuvant approach in patients with locally advanced gastric cancer and the identification of prognostic factors.

Sub epithelial lesions (SELs) of the gastrointestinal (GI) tract are commonly identified during routine endoscopy. Most of these lesions are benign. However because there is the potential for malignant transformation it is important to correctly identify the lesion in order to determine if any further therapy and/or surveillance is necessary for the patient, particularly for gastrointestinal stromal tumors (GISTs). Obtaining a definitive diagnosis for SELs is often difficult since biopsies of the normal overlying surface mucosal layer are typically normal. EUS-FNA is the standard method by which a biopsy-proven diagnosis is obtained for most SEL's. However, the yield for a definite diagnosis from EUS-FNA for SELs is often suboptimal. Recently a new biopsy method, called "single incision needle-knife" (SINK) was introduced that may prove more useful in determining a definitive diagnosis. Furthermore, recent advances in core biopsy needles for EUS offer the hope for improved outcomes with EUS-guided fine-needle biopsy (FNB). However, it remains unclear whether superior diagnostic outcomes are obtained using the new SINK biopsy method or using new EUS-FNB core needles.