MRE for Diagnosis of Pancreatic Masses

Pancreatic ductal adenocarcinoma (PDAC) accounts for 85-95% of pancreatic cancer and is one of the deadliest tumors in the world, with a survival rate of less than 8%, and identifying key prognostic or predictive factors facilitates risk stratification and prospective assessment in clinical trials. The extracellular matrix (ECM) surrounding PDAC often exhibits a large number of interstitial fibrosis, which is closely related to the formation, development and metastasis of PDAC. High order three-dimensional MR elastography (3D-MRE) allows non-invasive measurements of sheer stiffness in normal pancreas and pancreatic lesions. However, there are no reports about the application of MRE imaging biomarkers to predict the prognosis of PDAC at home and abroad.

Pancreatic ductal adenocarcinoma (PDAC) accounts for 85-95% of pancreatic cancer and is one of the deadliest tumors in the world, with a survival rate of less than 8%, and identifying key prognostic or predictive factors facilitates risk stratification and prospective assessment in clinical trials. The extracellular matrix (ECM) surrounding PDAC often exhibits a large number of interstitial fibrosis, which is closely related to the formation, development and metastasis of PDAC. Although interstitial composition is considered a double-edged sword, influencing cancer biological progression and modification in multiple complex ways, experimental studies consistently demonstrate that hardening of ECM in PDAC accelerates PDAC progression and is significantly associated with shorter survival. If investigators can noninvasively detect the mechanical properties (hardness) of human PDAC before treatment, it will be helpful to describe the biological characteristics of tumors, predict the prognosis of patients, and choose the right clinical treatment decision. High order three-dimensional MR elastography (3D-MRE) allows non-invasive measurements of sheer stiffness in normal pancreas and pancreatic lesions. However, there are no reports about the application of MRE imaging biomarkers to predict the prognosis of PDAC at home and abroad.