Clinical Study of Magnetic Resonance Imaging and Deep Learning of Joint Synovial Disease
NCT04952896 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 350
Last updated 2022-11-02
Summary
Through the high-throughput feature extraction of magnetic resonance images, the deep learning prediction model of joint synovial lesions is constructed used for the diagnosis, differential diagnosis and curative effect monitoring of joint synovial lesions.
Conditions
- Synovial Diseases
- Pigmented Villonodular Synovitis
- Gout
- Rheumatoid Arthritis
Interventions
- DIAGNOSTIC_TEST
-
Synovitis diagnosis
Sponsors & Collaborators
-
Peking University Third Hospital
lead OTHER
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2012-01-01
- Primary Completion
- 2022-03-31
- Completion
- 2022-10-29
Countries
- China
Study Locations
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