Active clinical trials for "Digestive System Neoplasms"

The objective of the SIM trial is to investigate whether using the Surefire Infusion System during holmium-166 radioembolization increases the posttreatment tumor to non-tumor activity concentration ratio, compared with using a standard end-hole microcatheter.

This study evaluates the impact of Endorings™ assisted colonoscopy on the number of polyps detected per patient compared to standard colonoscopy without use of EndoRings™. Half of the participants will receive EndoRings™ assisted colonoscopy, while the other half will receive standard colonoscopy.

Evaluation of DC-CIK cells combined TACE treatment for HCC

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 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.

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.

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.

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.

Malnutrition is a common problem in cancer patients. It negatively influences patients' prognosis and quality of life. In gastrointestinal patients, it is also caused by insufficient food intake due to dysphagia, lack of appetite, nausea, vomiting, impaired digestion and absorption. Furthermore, influence of prior oncologic treatment (surgery, chemotherapy, and radiotherapy), have been associated with prolonged hospital stay, more postoperative complications and low survival outcome1-4. So, the proper assessment of nutrition status to detect perioperative malnutrition may allow appropriate nutritional therapy and improve survival5. However, the important factor which prolongs survival rate is good preoperative nutrition status because it effects the postoperative nutrition outcome. The objective of this study is to correlate the association between pre- and postoperative nutrition status and surgical outcomes. The Nutrition Alert Form (NAF) is a clinical tool for determining nutritional status. The NAF was modified from Subjective Global Assessment (SGA)6, and it is easy to use and does not require nutritional expertise based on laboratory and physical examination. Therefore, the NAF has been used extensively for screening of malnutrition in hospitalized Thai patients and it can classify the nutritional status into three groups : NAF-A (Normal-Mild malnutrition), NAF-B (Moderate malnutrition), NAF-C (Severe malnutrition)