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Establishment and application of artificial intelligence system platform for pancreatic cancer diagnosis based Convolutional Neural Network

Establishment and application of artificial intelligence system platform for pancreatic cancer diagnosis based Convolutional Neural Network

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800017542
Enrollment
Unknown
Registered
2018-08-03
Start date
2018-08-01
Completion date
Unknown
Last updated
2018-08-20

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:Pathological examination
Index test:Artificial&#32
intelligence&#32
diagnosis&#32
system

Sponsors

Affiliated Hospital of Qiingdao University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) all patients received complete informed consent for the study; (2) 64 layers of spiral enhanced CT examination was taken before operation; (3) all patients received surgical treatment, and postoperative pathological examination confirmed pancreatic ductal adenocarcinoma, and the pathological TNM staging of pancreatic cancer was identified; (4) the medical informaiton including clinical, pathological features and treatment of patients was recorded.

Exclusion criteria

Exclusion criteria: (1) Complicated with other malignant tumors; (2) Pathological examination was proven non-pancreatic cancer; (3) Contrast hypersensitivity; (4) Heart, liver and kidney dysfunction.

Design outcomes

Primary

MeasureTime frame
SEN, SPE, ACC;—

Countries

China

Contacts

Public ContactYun Lu

Affiliated Hospital of Qiingdao University

cloudylucn@126.com+86 18661802231

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 20, 2026