Pediatric Appendicitis Data with Ultrasound Images and Clinical Scores from Regensburg

A retrospective cohort dataset from pediatric patients admitted with abdominal pain to Children's Hospital St. Hedwig in Regensburg, Germany. It includes multiple abdominal B-mode ultrasound images, laboratory tests, physical examination results, clinical scores, and expert ultrasonographic findings for each subject. Subjects are labeled with three target variables: diagnosis, management, and severity of appendicitis.

Use Cases

• Building a diagnostic classifier for appendicitis based on clinical scores and ultrasound findings.
• Predicting the need for surgical management based on patient examination and test results.
• Classifying appendicitis severity (complicated vs. uncomplicated) using multimodal clinical data.
• Training image analysis models on abdominal ultrasound images to identify regions of interest like the appendix.

Strengths

• Includes multiple data modalities: ultrasound images (1 to 15 views per patient), laboratory tests, physical exams, and clinical scores.
• Provides three distinct clinical target variables for modeling: diagnosis, management, and severity.
• Ethics approval from the University of Regensburg indicates a structured collection process.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Children's Hospital St. Hedwig in Regensburg, Germany.

Collection Method

Retrospective study of a pediatric patient cohort.

Time Range

null

Freshness

null

Geography

Regensburg, Germany.