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Usefulness of Artificial intelligence for multi-classificationrisk stratification of pancreatic cystic neoplasms

Usefulness of Artificial intelligence for the Screening of High-risk Groups of the Pancreatic Cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096592
Enrollment
Unknown
Registered
2025-01-26
Start date
2024-04-01
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

Target disease:pancreatic cystic neoplasm

Interventions

Gold Standard:Pathology
Index test:A deep learning model based on muti-phase CT images.

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 88 Years

Inclusion criteria

Inclusion criteria: 1. The patient underwent pancreatic enhanced CT scan at Changhai Hospital; 2. Age>18 years old.

Exclusion criteria

Exclusion criteria: 1. Incomplete phase of pancreatic enhanced CT image/poor image quality; 2. Age<18 years old.

Design outcomes

Primary

MeasureTime frame
AUC;—

Secondary

MeasureTime frame
sensitivity;specificity;negative predictive value (NPV);positive predictive value (PPV);—

Countries

China

Contacts

Public ContactYun Bian

Shanghai Changhai Hospital

bianyun2012@foxmail.com+86 138 1635 7024

Outcome results

None listed

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