Radiomics-based ensemble model predicts postoperative recurrence of gastric cancer

Our RSA model, integrating robust radiomics methodologies and critical clinical parameters, consistently demonstrated high accuracy and clinical applicability in diverse populations, significantly improving prediction of early postoperative recurrence in LAGC. This approach provides novel insights into tumor-immune microenvironment interactions, paving the way toward personalized postoperative management strategies.