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

• Conditions: Pancreatic Cancer

• Registration Number: NCT05313854
• Lead Sponsor: RenJi Hospital

Brief Summary

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

Detailed 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.

Study Timeline

• Study Start: 2021-01-01
• Status Verified: 2022-03
• Study First Submitted: 2022-03-16
• Study First Submitted QC: 2022-03-29
• Last Update Submitted: 2022-03-29
• Study First Posted: 2022-04-06
• Last Update Posted: 2022-04-06
• Primary Completion: 2023-12-31
• Study Completion: 2023-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 1000

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Patient overall survival	up to 3 years	Patient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.

Secondary Outcome Measures

Name	Time	Method
Pathology diagnosis	intraoperative	Pathology diagnosis of the patient, such as adenocarcinoma, pancreatic neuroendocrine tumors, intraductal Papillary Mucinous Neoplasm, et al.

Trial Locations

Locations (1)

Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; 🇨🇳 Shanghai, China