Actively Recruiting
A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data
Led by Shanghai Zhongshan Hospital · Updated on 2026-05-01
1030
Participants Needed
1
Research Sites
212 weeks
Total Duration
On this page
Sponsors
S
Shanghai Zhongshan Hospital
Lead Sponsor
T
The First Affiliated Hospital of University of South China
Collaborating Sponsor
AI-Summary
What this Trial Is About
The goal of this observational study is to learn if combining information from CT scans, blood tests, and pathology reports can better predict how pancreatic cancer will progress. The main questions it aims to answer are: * Can combining these types of data more accurately estimate how long a person might survive? * Can it better predict the risk of the cancer coming back? Participants will not have any extra tests or treatments. They will: * Allow researchers to collect information from their existing medical records (such as surgery reports, imaging, and lab results) * Receive a follow-up phone call about every 3 months for up to 3 years to share health updates
CONDITIONS
Official Title
A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age ≥ 18 years.
- Histologically or cytologically confirmed diagnosis of pancreatic cancer.
- Availability of preoperative and postoperative contrast-enhanced CT images at the participating center; patient records include corresponding clinical data, postoperative pathological reports, and preoperative and postoperative blood test results.
- Underwent surgical treatment for pancreatic cancer at a participating center of this study.
You will not qualify if you...
- Age < 18 years (minors).
- Presence of other severe diseases (e.g., severe liver or kidney failure, cardiovascular or cerebrovascular diseases, malignancies other than pancreatic cancer); pregnant or breastfeeding women; individuals with mental illness;
- patients unable to comply with follow-up or provide informed consent.
- Presence of significant outliers (e.g., laboratory values exceeding 10 times the normal range without clinically reasonable explanation) or samples with excessive missing data.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Zhongshan Hospital Affiliated to Fudan University
Shanghai, Shanghai Municipality, China
Actively Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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