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Establishment and validation deep learning model to predict the prognosis of pancreatic necrosis in acute pancreatitis

Establishment and validation deep learning model to predict the prognosis of pancreatic necrosis in acute pancreatitis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100042187
Enrollment
Unknown
Registered
2021-01-15
Start date
2021-01-11
Completion date
Unknown
Last updated
2021-04-12

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

Conditions

Acute pancreatitis

Interventions

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Sponsors

Department of Gastroenterology, People's Hospital of Chongqing Hechuan
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: According to the diagnosis of AP and the CT during hospitalization suggesting pancreatic necrosis.

Exclusion criteria

Exclusion criteria: Patients younger than 18 years old or older than 80 years old, AP during pregnancy, patients with pancreatic tumors, and patients who did not undergo enhanced CT scan of the upper abdomen within 1 week of onset.

Design outcomes

Primary

MeasureTime frame
Outcome of pancreatic necrosis;SEN, SPE, ACC, AUC of ROC, PV+, PV-;

Countries

China

Contacts

Public ContactQiu Qiu

Department of Gastroenterology, People's Hospital of Chongqing Hechuan

360894544@qq.com+86 13452932965

Outcome results

None listed

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