Deep Learning-Assisted Ultrasonic Diagnosis and Localization of Testicular Appendix Torsion: A Multicenter Retrospective Validation Study

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600116947

Enrollment

Unknown

Registered

2026-01-16

Start date

2026-03-01

Completion date

Unknown

Last updated

2026-01-27

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

Conditions

Testicular Appendage Torsion

Interventions

Gold Standard:1.Surgical exploration and Pathological examination

2.Comprehensive diagnosis based on symptoms, signs and imaging examinations

Index test:a deep learning-based ultrasound diagnostic model for the automatic diagnosis of testicular appendix torsion

Eligibility

Sex/Gender

Male

Age

No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged <= 18 years who underwent ultrasound examination due to acute scrotal pain (duration <= 24 hours) and were clinically diagnosed with testicular appendage torsion.

Exclusion criteria

Exclusion criteria: 1. Poor ultrasound image quality (unable to identify testicular structures); 2. incomplete clinical information (unable to diagnose testicular appendage torsion);

Design outcomes

Primary

Measure	Time frame
Accuracy;mAP50;ROC-AUC;	—

Secondary

Measure	Time frame
Sensitivity;Recall;Precision;	—

Countries

China

Contacts

Public ContactYing Jiang

Children's Hospital,Zhejiang University School of Medicine

1249049839@qq.com+86 571 8706 1007

Outcome results

None listed

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