CT Imaging and Clinical Features to Predict Outcomes in Patients With Gastric Cancer

The goal of this prospective observational study is to evaluate how well a previously developed prediction model can estimate outcomes in adults with gastric cancer. The model combines information from computed tomography (CT) images obtained before treatment with routine clinical information. The main questions are how well the model predicts how long participants live after treatment begins and whether their cancer progresses. Participants will receive their usual medical care. Researchers will collect pretreatment CT images, basic clinical and tumor information, laboratory and tumor marker results, treatment information, and follow-up outcomes obtained during routine care. These data will be entered into the predefined prediction model, and the model's predictions will be compared with what actually happens during follow-up. The study will not change the participants' usual treatment. Model predictions will be used for research purposes only and will not be used to make treatment decisions.

Inclusion Criteria: Histologically or pathologically confirmed gastric cancer and receiving treatment at the study center. Age ≥18 years. Complete pretreatment CT imaging data available from the study center. Exclusion Criteria: Pretreatment CT images of insufficient quality for analysis. Incomplete clinical data. Presence of another malignant tumor in addition to gastric cancer.