GASTRIC CANCER (DIAGNOSIS)

This phase 2 trial tests whether delivering FOLFOX chemotherapy directly into the arteries feeding the tumor can help control advanced stomach or gastroesophageal junction cancer. The study includes 31 adults who cannot have surgery due to frailty or other health issues. The main…

This study looks at whether supervised exercise can improve recovery in people who have had surgery for esophageal or gastric cancer. About 171 participants will be assigned to high-intensity interval training, low-intensity continuous training, or usual care for 8 weeks. The goa…

This study tests whether an artificial intelligence (AI) tool can help radiologists more accurately determine the stage of stomach cancer from CT scans. Fifty-four radiologists will review 60 scans each, first without AI help and then with AI assistance, to see if the AI improves…

This study is testing an artificial intelligence tool called DeepComp that uses CT scans and patient data to predict which stomach cancer patients are at high risk for major complications after surgery. Researchers will enroll 500 patients across five medical centers and compare …

This study tests whether a high-flow nasal cannula (a device that delivers warm, moist oxygen) can prevent low oxygen levels during sedated gastrointestinal endoscopy in people at high risk for obstructive sleep apnea. About 600 adults with a STOP-Bang score of 5 or higher will b…

This international registry collects data from 200 stomach cancer patients who undergo robot-assisted minimally invasive gastrectomy (RAMIG). The goal is to understand surgical techniques, outcomes, and the learning curve for surgeons. By standardizing data collection across cont…

This observational study will follow 1,000 adults in Algeria who have been diagnosed with gastric cancer. Researchers will collect information on patient demographics, risk factors, symptoms, how the cancer is diagnosed, and what treatments are used. The goal is to better underst…