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Prediction Model of Postoperative Complications, Short-term and Long-term Prognosis of Pancreatic Cancer Based on Deep Learning AI

Prediction Model of Postoperative Complications, Short-term and Long-term Prognosis of Pancreatic Cancer Based on Deep Learning AI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089528
Enrollment
Unknown
Registered
2024-09-10
Start date
2024-10-01
Completion date
Unknown
Last updated
2024-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreatic Cancer

Interventions

training group:Training for predicting models.
Model Validation Group:Validation for predictive models
Testing Group:Testing for predictive models

Sponsors

Zhongshan Hospital Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1: Age 18 and above 2: Postoperative pathology of pancreatic ductal adenocarcinoma 3: No history of other primary malignant tumors 4: No history of preoperative antitumor therapy 5: No history of preoperative antitumor therapy 6: Complete clinical pathology data available

Exclusion criteria

Exclusion criteria: N/A

Design outcomes

Primary

MeasureTime frame
2-year survival rate;

Secondary

MeasureTime frame
Incidence of adverse cardiac events during the perioperative period;Incidence of acute renal failure in the perioperative period;Incidence of adverse events in the central nervous system during the perioperative period;

Countries

China

Contacts

Public ContactHan Xiaodan

Zhongshan Hospital Fudan University

han.xiaodan@zs-hospital.sh.cn+86 137 6122 3509

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026