Research on a Deep Learning Model for CT-Based Classification of Tertiary Lymphoid Structures in Pancreatic Cancer

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600118451

Enrollment

Unknown

Registered

2026-02-05

Start date

2026-02-12

Completion date

Unknown

Last updated

2026-02-09

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:Determine the patients tumor subtype based on the tertiary lymphoid structures and tumor-infiltrating lymphocytes observed in the patients HE staining

Index test:Deep Learning Model for Tertiary Lymphoid Structure Typing Based on CT Imaging

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

Measure	Time 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: Feb 15, 2026