View clinical trials related to Early Gastric Cancer.
Filter by:This is a prospective multicenter comparative study, aiming to compare probe-based confocal laser endomicroscopy (pCLE) and endoscopic biopsies in the diagnosis of the whole specific gastric lesion especially for distinguishing low grade intraepithelial neoplasia (LGIN) from high grade intraepithelial neoplasia (HGIN) and create an endoscopic image database for the follow-up research.
The purpose of this clinical trial is to prove that the prediction capability of 'WAYMED endo' is superior to that of the endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images. The computer-aided detection·diagnosis software is an Artificial Intelligence (AI) software used to assist medical specialists in diagnostic decisions by automatically classifying EGC based on the depth of invasion categories in gastro-endoscopic images and displaying the results and possibilities on the User Interface (UI).
This study is A prospective, randomized, multicenter clinical trial: The study intends to include subjects suspected of early gastric cancer, including 378 subjects with neoplastic lesions and 200 subjects with non-neoplastic lesions. The subjects are divided into two groups by random envelopes, A and B, and the endoscopic diagnosis in different groups is performed in different order (including: White light endoscopy,CellTouch, Magnifying endoscopy with NBI(ME-NBI)). Finally, the gold standard of histopathology was used to evaluate the diagnostic performance of CellTouch in the diagnosis of early gastric cancer.The study hypothesized that the sensitivity and specificity of CellTouch in the diagnosis of early gastric cancer could reach more than 90% and more than 95%.
SENORITA 1 trial showed laparoscopic sentinel lymph node biopsy and stomach preserving surgery in early gastric cancer can increase the quality of life. (Ryu KW et al. JCO 2022) The radioactive isotope is difficult to use because of the hazard of radiation and shortage of materials. The aim of this study is to investigate whether laparoscopic sentinel lymph node biopsy and stomach-preserving surgery using only fluorescence is feasible.
While the incidence of gastric cancer is gradually declining, it is the fifth most common cancer worldwide and the third most common cause of cancer related death worldwide according to GLOBOCAN 2018 data (Rawla P and Barsouk A.,2019). Laparoscopic distal gastrectomy for early gastric cancer(EGC) was first performed more than 20 years ago (Shi, Y et al.,2018). Laparoscopy-assisted gastrectomy (LAG) for EGC has been confirmed to have oncologic and long-term survival equivalency to the open technique and provide tremendous advantages over open surgery, such as good cosmesis, reduced pain, and shorter hospital stay(Katai H et al.,2017). Based on the experience of EGC, most experienced surgeons have applied the laparoscopic procedure in patients with locally advanced gastric cancer (AGC). Retrospective studies have assessed the technical and oncological safety of LAG with D2 lymph node dissection for AGC(Hao Y et al .,2016). Recently, results of two ongoing randomized controlled trials (RCTs) have revealed the surgical safety of laparoscopic distal gastrectomy with D2 lymphadenectomy for AGC . However, laparoscopic gastrectomy for locally advanced disease remains controversial(Hu Y et al.,2016). Here, we report the short-term surgical outcomes of a RCT comparing laparoscopic and open gastrectomy (OG) with D2 lymph node dissection for EGC, which was designed to assess the technical safety and oncologic feasibility of LAG for EGC.
The purpose of this study is to develop and validate a clinical decision support system based on automated algorithms. This system can use natural language processing to extract data from patients' endoscopic reports and pathological reports, identify patients' disease types and grades, and generate guidelines based follow-up or treatment recommendations
Early gastric cancer（AGC）has no effective characteristic symptoms and signs according to clinical statistics. Neoadjuvant chemotherapy (NAC) significantly reduces the size of AGC tumors so that it has become the recommended treatment for AGC in major guidelines. However, Some patients miss the best time for surgical treatment and may have irreversible chemotherapy side effects due to NAC lacks the guidance of new indicators for precise treatment such as molecular biomarkers. Tumor organoids are highly consistent with the clinical drug sensitivities of patients which could be used as clinical treatment prediction models thus providing guidance for individualized medicine. Therefore, the project is the first to carry out the prospective study by screening the potential benefit populations of NAC based on tumor organoids drug susceptibility experiment. The following hypothesis are put forward：the potential benefit population of NAC screened by tumor organoid drugs susceptibility technology will have better clinical efficacy, better treatment tolerance and higher adverse reaction rate.
This study is a single-center, prospective, group-controlled clinical trial, aiming to clarify the relationship between the depth of dissection and scar formation in the treatment of early gastric cancer by ESD, and to provide high-quality evidence-based medicine for the treatment of early gastric cancer.
This study collect the relevant data of local residents over 20 years old in 11 regions of Shaanxi Province, The basic information of the subjects was collected by filling in the questionnaire, and serum helicobacter pylori antibody detection was completed at the same time. The expert group determined the high-risk population of gastric cancer after comprehensive evaluation. All the high-risk population of gastric cancer without contraindications underwent electronic gastroscopy in the designated hospital after signing the informed consent. By collecting and analyzing data, early gastric cancer screening was completed and a new gastric cancer risk assessment model was established to evaluate the prevalence of dyspepsia, gastroesophageal reflux disease and precancerous lesions in the natural population of Shaanxi Province, as well as helicobacter pylori infection, radical treatment and recurrence rate.
The purpose of this study is to enable non-invasive early detection of gastric cancer in high-risk populations through the establishment of a multimodal machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage gastric cancer patients and healthy individuals will be subjected to whole-genome sequencing. Features, such as cell-free DNA fragmentation, copy number variations and microbiome, will be assessed to generate this model.