Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Key Points

• The research aims to develop a predictive model for early recurrence of pancreatic ductal adenocarcinoma and to identify the biological mechanisms involved.
• Integration of radiomics and computational pathology techniques
• Development of a high-performance predictive model
• Analysis of the tumor microenvironment
• Established ECM remodeling as a significant biological mechanism
• Demonstrated high accuracy of the predictive model for early recurrence

Abstract