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Establishment of acute pancreatitis diagnosis and prediction model based on deep learning

Establishment of acute pancreatitis diagnosis and prediction model based on deep learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200061966
Enrollment
Unknown
Registered
2022-07-13
Start date
2022-07-31
Completion date
Unknown
Last updated
2023-04-03

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

Conditions

pancreatitis

Interventions

Gold Standard:The Revised Atlanta Classification of Acute Pancreatitis
Index test:Acute&#32
pancreatitis&#32
diagnosis&#32
and&#32
prediction&#32
model&#32
based&#32
on&#32
deep&#32
learning

Sponsors

Sichuan Academy of Medical Sciences · Sichuan Provincial people's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. The age of the patient is >= 18 years old; 2. Admitted to our hospital for treatment due to acute pancreatitis; 3. At least one abdominal CT examination during hospitalization.

Exclusion criteria

Exclusion criteria: 1. Previous history of gastrointestinal tumors; 2. The imaging quality of CT images is poor.

Design outcomes

Primary

MeasureTime frame
Abdominal computed tomography (CT);area under the receiver operating characteristic curve;sensitivity;specificity;accuracy;—

Countries

China

Contacts

Public ContactMingwei Sun

Sichuan Academy of Medical Sciences · Sichuan Provincial People's Hospital

653176424@qq.com+86 15928853536

Outcome results

None listed

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