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

October 29, 2022 updated by: Peking University Third Hospital

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

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.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

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.

Study Type

Observational

Enrollment (Actual)

350

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Please Select An Option Below
      • Beijing, Please Select An Option Below, China, 100089
        • Peking University Third Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

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.

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Group of patients with pigmented villonodular synovitis
Diagnosis confirmed by arthroscopic pathological biopsy.
Diagnostic test: Synovitis diagnosis
Group of patients with rheumatoid arthritis
Diagnosis determined by clinical history, laboratory tests and arthroscopic pathology biopsy.
Diagnostic test: Synovitis diagnosis
Group of patients with gout
Diagnosis was determined by laboratory tests, energy spectrum imaging and arthroscopic pathology biopsy.
Diagnostic test: Synovitis diagnosis

What is the study measuring?

Primary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Peking University Third Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2012

Primary Completion (Actual)

March 31, 2022

Study Completion (Actual)

October 29, 2022

Study Registration Dates

First Submitted

June 29, 2021

First Submitted That Met QC Criteria

June 29, 2021

First Posted (Actual)

July 7, 2021

Study Record Updates

Last Update Posted (Actual)

November 2, 2022

Last Update Submitted That Met QC Criteria

October 29, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • LM2019168

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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