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A multitask deep learning radiomics model for predicting degenerative meniscus tear and postoperative prognosis after arthroscopy

A multitask deep learning radiomics model for predicting degenerative meniscus tear and postoperative prognosis after arthroscopy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098922
Enrollment
Unknown
Registered
2025-03-17
Start date
2025-06-01
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

Degenerative meniscus tear

Interventions

Observation group:None

Sponsors

Chongqing Banan District People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
45 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Older than 45. 2.Diagnosis of degenerative meniscus tear. 3.Arthroscopic knee surgery. 4.The treatment of meniscus was partial meniscectomy.

Exclusion criteria

Exclusion criteria: 1.Associated with ligament injury around the joint, such as anterior and posterior cruciate ligament injury, medial and lateral collateral ligament injury, patellar ligament injury. 2.Other arthritis complicated with non knee osteoarthritis, such as gouty arthritis, Charcot's disease, tuberculous arthritis, etc. 3.Conservative treatment, patients without operation.

Design outcomes

Secondary

MeasureTime frame
Confusion Matrix;—

Primary

MeasureTime frame
Area Under Curve(AUC);Receiver Operating Characteristic curve(ROC);—

Countries

China

Contacts

Public ContactHe Yao

Chongqing Banan District People's Hospital

137445886@qq.com+86 152 1500 2156

Outcome results

None listed

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