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
Our study offers a high-performance predictive model for ER in PDAC and establishes ECM remodeling as a key biological mechanism underlying the predictions.
Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment | Synapse