Stomach Cancer Clinical Trials
A listing of Stomach Cancer medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 495 clinical trials
Post-operative Monitoring of Gastric Cancer
This study is to determine the performance of non-invasive new multi-target biomarkers in the post-operative monitoring of gastric cancer.
Preliminary Study on the Diagnostic Value Comparison of 18F-FAPI-04 PET/CT and PET/MR in Gastric Cancer
This project aims to comprehensively analyze the diagnostic efficacy of SUVmax, SUVean, TLG, MTV, etc. in gastric cancer through 18F-FAPI-04 PET/CT imaging combined with serum tumor markers and other methods, and construct a molecular imaging diagnostic model for gastric cancer; Next, analyze the diagnostic efficacy of 18F-FAPI-04 PET/CT and PET/MR …
Energy CT in Imaging and Diagnosis of Gastric Cancer
Accurate preoperative prediction of risk stratification, treatment response, and survival prognosis in gastric cancer is important for improving clinical treatment decisions, prolonging patient survival, and improving patient quality of life. The purpose of this study is to investigate the performance of the multi-parametric magnetic resonance imaging (mpMRI) and Dual-/Muti-energy CT …
Microbiota and Metabolomics of Intestinal Type of Gastric Cancer
Compare with the gastric cavity without cancerous transformation in atrophic gastritis, analyze the microbiota and metabolomics changes in intestinal type of gastric cancer under the background of atrophic gastritis, and explore the relevant mechanisms.
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
This study seeks to develop a deep-learning-based intelligent predictive model for the efficacy of neoadjuvant chemotherapy in gastric cancer patients. By utilizing the patients' CT imaging data, biopsy pathology images, and clinical information, the intelligent model will predict the post-neoadjuvant chemotherapy efficacy and prognosis, offering assistance in personalized treatment decisions …
Predicting Gastric Cancer Response to Chemo With Multimodal AI Model
This study aims to develop a multimodal model combining radiomic and pathomic features to predict pathological complete response (pCR) in advanced gastric cancer patients undergoing neoadjuvant chemotherapy (NAC). The researchers intended to collected pre-intervention CT images and pathological slides from patients, extract radiomic and pathomic features, and build a prediction …
The Role of 18F-FDG&68Ga-FAPI PET/CT in the Assessment of Conversion Therapy Efficacy in Gastric Cancer with Peritoneal Metastasis.
This study aims to investigate the value of 18F-FDG&;68Ga-FAPI PET/CT in evaluating the outcome of conversion therapy and the prognosis of people with peritoneal metastases from gastric cancer.
The Construction of a Predictive Model for Gastric Cancer Immunotherapy Response Based on Tumor-Infiltrating Lymphocytes (TILs) and Histone H3K4me3 in the Tumor Microenvironment
Gastric cancer is one of the cancers with a high mortality rate globally, and its treatment outcomes urgently need to be improved. The emergence of immunotherapy has broken through the bottleneck of chemotherapy for gastric cancer. However, the therapeutic efficacy of immunotherapy varies significantly among patients and still needs to …
The Effect of Different Digestive Tract Reconstruction Methods on Postoperative Quality of Life After Proximal Gastrectomy
Gastric cancer ranks as the fifth most common malignancy worldwide and the fourth leading cause of cancer-related deaths. In China, its incidence and mortality rank third among all cancers. While the global incidence of gastric cancer is declining, proximal gastric cancer and adenocarcinoma of the esophagogastric junction (AEG) are on …
First-Line and Neoadjuvant Immunotherapy for Gastric Cancer
This prospective observational study aims to evaluate the efficacy and safety of immune checkpoint inhibitors as first-line and neoadjuvant therapy for advanced gastric cancer, while also investigating relevant biomarkers to better understand their role in immunotherapy outcomes