FindTrial
Sign In

Evaluation of Knee Cartilage Injury Severity by an Artificial Intelligence Model Based on 3.0T MRI

Evaluation of Knee Cartilage Injury Severity by an Artificial Intelligence Model Based on 3.0T MRI

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126451
Enrollment
Unknown
Registered
2026-06-09
Start date
2025-10-30
Completion date
Unknown
Last updated
2026-06-15

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

Conditions

Knee Osteoarthritis

Interventions

Gold Standard:Two experienced musculoskeletal radiologists jointly assessed and reached consensus on the grading of knee cartilage injury severity.
Index test:Artificial Intelligence Model Based on 3.0T MRI

Sponsors

The Second Affiliated Hospital of Xi’an Jiaotong University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 80 Years

Inclusion criteria

Inclusion criteria: Individuals aged 20–80 years who underwent 3.0 T knee MRI in our department, including both patients with knee pain and asymptomatic subjects undergoing health check-ups.

Exclusion criteria

Exclusion criteria: 1. History of knee surgery 2. Incomplete MRI data 3. MRI performed due to acute trauma 4. Intra-articular knee injection within the past 3 months 5. History of rheumatoid, traumatic, tuberculous, purulent, or gouty arthritis.

Design outcomes

Primary

MeasureTime frame
Area Under the ROC Curve;sensitivity;specificity;Average Surface Distance;—

Secondary

MeasureTime frame
Weighted F1-score;Dice coefficient;feature interpretability;—

Countries

China

Contacts

Public ContactLi Xinghua

The Second Affiliated Hospital of Xi’an Jiaotong University

lixinghua2020@xjtu.edu.cn+86 29 8767 9617

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 21, 2026