NCT05313854
Unknown
Not Applicable
Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data
ConditionsPancreatic Cancer
Overview
- Phase
- Not Applicable
- Sponsor
- RenJi Hospital
- 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
Study Sites (1)
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