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

Shanghai Jiao Tong University

Status: Unknown

Conditions: Pancreatic Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT05313854

RA-2020-455

Details and patient eligibility

About

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

Full description

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.

Enrollment: 1,000 estimated patients

Sex: All

Ages: 18 to 90 years old

Volunteers: No Healthy Volunteers

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