FindTrial
Sign In

A study on constructing a predictive model for postoperative pancreatic fistula using deep learning.

A study on constructing a predictive model for postoperative pancreatic fistula using deep learning.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400084511
Enrollment
Unknown
Registered
2024-05-20
Start date
2024-06-01
Completion date
Unknown
Last updated
2024-05-27

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

Conditions

None

Interventions

POPF group:Actual POPF occurred
non-POPF group:Actual non-POPF occurred

Sponsors

The General Hospital of Western Theater Command
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Underwent pancreatic surgery for treatment; 2. Have complete medical records; 3. Aged between 18 to 80 years old.

Exclusion criteria

Exclusion criteria: Patients who underwent surgery on other organs concurrently; Those who only received palliative surgical treatment; Patients with incomplete medical records.

Design outcomes

Primary

MeasureTime frame
postoperative pancreatic fistula (POPF);Area Under the Receiver Operating Characteristic Curve (AUC-ROC);—

Secondary

MeasureTime frame
Area Under the Precision-Recall Curve (AUC-PR);Accuracy;F1 score;—

Countries

China

Contacts

Public ContactLiang Hongyin

The General Hospital of Western Theater Command

lianghy1212@126.com+86 28 8657 0992

Outcome results

None listed

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