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Clinical Trials/NCT05313854
NCT05313854
Unknown
Not Applicable

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

RenJi Hospital1 site in 1 country1,000 target enrollmentStarted: January 1, 2021Last updated:

Overview

Phase
Not Applicable
Enrollment
1,000
Locations
1
Primary Endpoint
Patient overall survival

Overview

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 Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Eligibility Criteria

Ages
18 Years to 90 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

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

Outcomes

Primary Outcomes

Patient overall survival

Time Frame: up to 3 years

Patient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.

Secondary Outcomes

  • Pathology diagnosis(intraoperative)

Investigators

Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (1)

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