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

NCT04952896 — Completed, 350 participants, Peking University Third Hospital

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Using Magnetic Resonance Imaging and DL Methods to Explore the Diagnosis and Clinical Prognosis of Joint Synovitis.

Registry	NCT04952896
Status	Completed
Study type	Observational
Enrollment	350 (Actual)
Sponsor	Peking University Third Hospital (Other)
Conditions	Synovial Diseases, Pigmented Villonodular Synovitis, Gout, Rheumatoid Arthritis
Interventions	Synovitis diagnosis (Diagnostic test)
Dates	start 2012-01-01, primary completion 2022-03-31, completion 2022-10-29, first posted 2021-07-07, last updated 2022-11-02
Locations	1 site in China

-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.

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+Detailed description

The study applies magnetic resonance and deep learning (DL) to the diagnosis of joint synovial lesions, aims to have a more comprehensive understanding of the pathophysiology of the occurrence and development of joint synovial lesions. As a non-invasive imaging method to assess the condition of the disease, DL methods excavates the deep features contained in the image, quantifies the joint synovial lesions, and then gives more information to the clinician in the diagnosis and differential diagnosis of the joint synovial lesions, provide important information for the planning of individualized treatment plans for patients with joint synovial diseases.

+Arms and interventions

Arm	Interventions	Description
Group of patients with pigmented villonodular synovitis	Diagnostic Test: Synovitis diagnosis	Diagnosis confirmed by arthroscopic pathological biopsy.
Group of patients with rheumatoid arthritis	Diagnostic Test: Synovitis diagnosis	Diagnosis determined by clinical history, laboratory tests and arthroscopic pathology biopsy.
Group of patients with gout	Diagnostic Test: Synovitis diagnosis	Diagnosis was determined by laboratory tests, energy spectrum imaging and arthroscopic pathology biopsy.

Synovitis diagnosis (Diagnostic test)

+Outcome measures

Primary outcomes

Patient's diagnosis [2019-2022]: Type of synovitis disease in patients with a clear comprehensive diagnosis

+Eligibility

Sex: All

Inclusion Criteria:

1. 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.
2. Patients received pre-treatment MR.

Exclusion Criteria:

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

+Locations (1)

Facility	City	Country	Status
Peking University third hospital	Beijing, Please Select An Option Below	China