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Prediction of acute appendicitis subtypes in adults based on deep learning and CT imaging

Prediction of acute appendicitis subtypes in adults based on deep learning and CT imaging

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300069461
Enrollment
Unknown
Registered
2023-03-17
Start date
2023-03-17
Completion date
Unknown
Last updated
2023-05-29

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

Conditions

appendicitis

Interventions

Training set, verification set:NA

Sponsors

The Affiliated Hospital of Southwest Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age range: 18–80 years old; 2. In line with the histopathological and surgical diagnosis of acute appendicitis.

Exclusion criteria

Exclusion criteria: 1. Pregnant women, patients with history of appendectomy, parasitic infection and data loss; 2. The information of abdominal CT of the patient is missing.

Design outcomes

Primary

MeasureTime frame
Classification of appendicitis;—

Secondary

MeasureTime frame
CT imaging data;Laboratory indicators;Abdominal physical examination;—

Countries

China

Contacts

Public ContactWu Wenhan

The Affiliated hospital of southwest medical university

1248962133@qq.com+86 13440111789

Outcome results

None listed

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