Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

This prospective cohort study is designed to investigate the diagnostic ability and prediction accuracy of pancreatic cancer by radiomics data and clinical data.

In this study, investigators aimed to investigate the diagnostic performance and prediction accuracy of pancreatic cancer by radiomics data and clinical data, which include CT scan, MRI, PET-CT, PET-MR, ultrasound, and clinical data.

Inclusion Criteria:

Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis

Exclusion Criteria:

Have other tumors along with pancreatic tumor; Clinical information missing