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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

350 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-01-01

Study Completion Date

2022-10-29

Brief Summary

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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

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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.

Conditions

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Synovial Diseases Pigmented Villonodular Synovitis Gout Rheumatoid Arthritis

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Group of patients with pigmented villonodular synovitis

Diagnosis confirmed by arthroscopic pathological biopsy.

Synovitis diagnosis

Intervention Type DIAGNOSTIC_TEST

Group of patients with rheumatoid arthritis

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

Synovitis diagnosis

Intervention Type DIAGNOSTIC_TEST

Group of patients with gout

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

Synovitis diagnosis

Intervention Type DIAGNOSTIC_TEST

Interventions

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Synovitis diagnosis

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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.

Eligible Sex

ALL

Accepts Healthy Volunteers

No