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

Peking University

Status: Completed

Conditions: Pigmented Villonodular Synovitis; Synovial Diseases; Rheumatoid Arthritis; Gout

Treatments: Diagnostic Test: Synovitis diagnosis

Study type: Observational

Funder types: Other

Identifiers

NCT04952896

LM2019168

Details and patient eligibility

About

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.

Full 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.

Enrollment: 350 patients

Sex: All

Volunteers: No Healthy Volunteers

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.

Trial design

350 participants in 3 patient groups

Group of patients with pigmented villonodular synovitis

Description:

Diagnosis confirmed by arthroscopic pathological biopsy.

Treatment:

Diagnostic Test: Synovitis diagnosis

Group of patients with rheumatoid arthritis

Description:

Diagnosis determined by clinical history, laboratory tests and arthroscopic pathology biopsy.

Treatment:

Diagnostic Test: Synovitis diagnosis

Group of patients with gout

Description:

Diagnosis was determined by laboratory tests, energy spectrum imaging and arthroscopic pathology biopsy.

Treatment:

Diagnostic Test: Synovitis diagnosis