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

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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04952896

Enrollment

350

Registered

2021-07-07

Start date

2012-01-01

Completion date

2022-10-29

Last updated

2022-11-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gout, Pigmented Villonodular Synovitis, Rheumatoid Arthritis, Synovial Diseases

Keywords

pigmented villonodular synovitis, deep learning, knee synovitis, MRI

Brief 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.

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.

Interventions

DIAGNOSTIC_TESTSynovitis diagnosis

Study design

Observational model

CASE_CONTROL

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

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.

Design outcomes

Primary

Measure	Time frame	Description
Patient's diagnosis	2019-2022	Type of synovitis disease in patients with a clear comprehensive diagnosis

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026