Research on a Multimodal-Based Deep Learning Model for Gene Mutation Prediction in Pancreatic Cancer

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600125371

Enrollment

Unknown

Registered

2026-05-26

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:Gene mutation detection

Index test:Deep Learning Model for Gene Mutation Based on Multimodality

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 lacking 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: Jun 11, 2026