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Construction and Validation of a Deep Learning Model for Identifying Changes in Epiphyseal Cartilage Ossification Signals in Children's Elbow Joints Based on MR Images

Model Construction for Identifying Changes in Epiphyseal Cartilage Ossification Signals in Children's Elbows Based on Deep Learning of MR Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500109735
Enrollment
Unknown
Registered
2025-09-24
Start date
2025-06-25
Completion date
Unknown
Last updated
2025-09-29

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

Conditions

Osteochondritis dissecans and Bone age determination

Interventions

Sponsors

Shengjing Hospital of China Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 15 Years

Inclusion criteria

Inclusion criteria: 1. Patients who visited our hospital and underwent clinical elbow joint MRI examination; 2. Aged under 14 years (for bone age determination studies, male patients' age range may be extended to 15 years); 3. Undergoing MRI examination due to trauma or routine health checkups; 4. For bone age study inclusion, patients must have had an elbow X-ray examination within 3 months.

Exclusion criteria

Exclusion criteria: 1. Patients with tumors, deformities, or a surgical history around the elbow; 2. Patients with malignant tumors, severe heart disease, renal insufficiency, or other conditions leading to poor general health; 3. Poor quality of MRI images; 4 .Patients with endocrine diseases (such as hyperthyroidism or diabetes) that may affect skeletal development; 5. History of long-term use of steroids or other drugs that affect skeletal development; 6. Hereditary diseases that impact bone growth (such as osteogenesis imperfecta, cartilage dysplasia, etc.); 7. Patients who have undergone radiation therapy, chemotherapy, or other treatments that could affect bone health; 8. Abnormal physical development (such as dwarfism or gigantism); 9. Individuals who have participated in high-intensity physical training or special artistic activities that could affect skeletal development.

Design outcomes

Primary

MeasureTime frame
Degree of epiphyseal fusion;Model classification accuracy, sensitivity, specificity;Bone age determination by the Sauvegrain method;

Secondary

MeasureTime frame
Basic information of the patient (age, height, weight);

Countries

China

Contacts

Public ContactShinong Pan

Shengjing Hospital of China Medical University

18940256901@vip.163.com+86 189 4025 6901

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 30, 2026