CompletedNot Applicable

Clinical Study of Magnetic Resonance Imaging and Deep Learning of Joint Synovial Disease

China350 participantsStarted 2012-01-01

Plain-language 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.

Who can participate

SexALL

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Inclusion criteria

✓. Patients diagnosed with joint synovial disease through radiological examination, arthroscopy or pathological biopsy of the joint, or whose clinical manifestations meet the diagnostic criteria of the American College of Rheumatology (ACR) for joint synovial disease.
✓. Patients received pre-treatment MR.

Exclusion criteria

✕. Patients who have received surgery, medication or other systemic treatment before standardized MRI scan.
✕. Poor image quality.
✕. Articular hemorrhage.

What they're measuring

Patient's diagnosis

Timeframe: 2019-2022

Trial details

NCT IDNCT04952896

SponsorPeking University Third Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2022-03-31

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