RecruitingNCT07561814

A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data


Sponsor

Shanghai Zhongshan Hospital

Enrollment

1,030 participants

Start Date

Dec 8, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

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


Eligibility

Min Age: 18 Years

Inclusion Criteria4

  • 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.

Exclusion Criteria4

  • 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.

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Locations(1)

Zhongshan Hospital Affiliated to Fudan University

Shanghai, Shanghai Municipality, China

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NCT07561814


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