Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data
1 other identifier
observational
1,000
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
March 16, 2022
CompletedFirst Posted
Study publicly available on registry
April 6, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedApril 6, 2022
March 1, 2022
3 years
March 16, 2022
March 29, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Patient overall survival
Patient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.
up to 3 years
Secondary Outcomes (1)
Pathology diagnosis
intraoperative
Other Outcomes (1)
Progression-free Survival
up to 3 years
Eligibility Criteria
hospitalized patients with radiology conformed pancreatic tumor
You may qualify if:
- Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis
You may not qualify if:
- Have other tumors along with pancreatic tumor; Clinical information missing
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- RenJi Hospitallead
Study Sites (1)
Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University
Shanghai, China
Related Publications (1)
Xu X, Qu J, Zhang Y, Qian X, Chen T, Liu Y. Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma. Front Oncol. 2023 Feb 24;13:1074445. doi: 10.3389/fonc.2023.1074445. eCollection 2023.
PMID: 36910599DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Tao Chen, Dr
Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 16, 2022
First Posted
April 6, 2022
Study Start
January 1, 2021
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
April 6, 2022
Record last verified: 2022-03