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Research on a CT-Based Deep Learning Model for Lymph Node Metastasis Staging in Pancreatic Cancer

Research on a CT-Based Deep Learning Model for Lymph Node Metastasis Staging in Pancreatic Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126028
Enrollment
Unknown
Registered
2026-06-02
Start date
2026-06-02
Completion date
Unknown
Last updated
2026-06-08

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

Conditions

pancreatic cancer

Interventions

Gold Standard:Postoperative pathological report
Index test:Deep learning model for CT-based staging of lymph node metastasis

Sponsors

Fudan University Shanghai Cancer Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Sign the "Informed Consent Form"; 2.Age >= 18 years and <= 80 years, regardless of gender; 3.Initial diagnosis of pancreatic cancer confirmed by histopathological and/or cytological examination; 4.Presence of at least one measurable disease site;

Exclusion criteria

Exclusion criteria: 1.Patients with other systemic malignancies; 2.Non-primary pancreatic cancer patients; 3.Patients with pathology-confirmed non-pancreatic adenocarcinoma; 4.Patients without contrast-enhanced CT scans within one month prior to surgery.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;Specificity;Positive Predictive Value;Negative Predictive Value;Area Under the Receiver Operating Characteristic Curve;—

Countries

China

Contacts

Public ContactXianjun Yu

Fudan University Shanghai Cancer Center

yuxianjun@fudanpci.org+86 183 0166 9875

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026