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A Generalizable CT-based Model for Preoperative Assessment of Microscopic Duodenal Invasion in Pancreatic Ductal Adenocarcinoma: A Multicenter Study

A Novel Deep Learning-Based Nomogram Model to Assist in Predicting Surgical Prognosis of Pancreatic Ductal Adenocarcinoma: A Multicenter, Retrospective Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500108416
Enrollment
Unknown
Registered
2025-08-29
Start date
2023-09-02
Completion date
Unknown
Last updated
2025-09-01

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

Conditions

pancreatic ductal adenocarcinoma

Interventions

Gold Standard: pathological examination
Index test:A Generalizable CT-based Model

Sponsors

The First Affiliated Hospital of University of Science and Technology of China
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1: pathologically confirmed primary PDAC 2: without distant metastasis before surgical resection 3: with available follow-up data

Exclusion criteria

Exclusion criteria: 1: with previous or synchronous other pathological types of tumors 2: with distant metastasis before surgical resection 3: without available follow-up data 4: censored and follow-up duration <100 days

Design outcomes

Primary

MeasureTime frame
C-index;—

Secondary

MeasureTime frame
area under the receiver operating characteristic curve (AUC);accuracy;—

Countries

China

Contacts

Public ContactYue Yu

The First Affiliated Hospital of University of Science and Technology of China

yuyuemd@ustc.edu.cn+86 189 6378 8890

Outcome results

None listed

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