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Automated early diagnosis of osteonecrosis of the femoral head using a deep-Learning model from plain radiographs

Automated early diagnosis of osteonecrosis of the femoral head using a deep-Learning model from plain radiographs

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100053919
Enrollment
Unknown
Registered
2021-12-02
Start date
2021-12-10
Completion date
Unknown
Last updated
2022-10-31

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

Conditions

Osteonecrosis of the femoral head

Interventions

Gold Standard:Osteonecrosis of the femoral head is diagnosed based on a combination of findings from clinical history, physical examination, and preoperative radiography and magnetic resonance imaging
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Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Test group: patients diagnosed with necrosis of the femoral head (Ficat stage I-IV); Healthy control group: patients with no obvious underlying pathological changes in the hip joint.

Exclusion criteria

Exclusion criteria: Test group: 1. Traumatic femoral head necrosis; 2. Leg-calf-Perth disease; 3. Have a history of pelvic fracture. Healthy control group: Presence of any hip pathology such as necrosis of the femoral head, osteoarthritis, fractures, bone tumors, prostheses, internal fixation, osteolytic or osteoblastic lesions, etc.

Design outcomes

Primary

MeasureTime frame
Ficat I of osteonecrosis of the femoral head;Ficat II of osteonecrosis of the femoral head;Ficat III of osteonecrosis of the femoral head;Ficat IV of osteonecrosis of the femoral head;Normal femoral head;

Countries

China

Contacts

Public ContactZeng Yi

West China Hospital, Sichuan University

zengyigd@126.com+86 18980602289

Outcome results

None listed

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