Quantitative Assessment of Lumbar Facet Joint Degeneration, A Retrospective Study.

January 16, 2025 updated by: Shanghai Changzheng Hospital

Enhanced Quantitative Assessment of Lumbar Facet Joint Degeneration: Refining the Weishaupt Grading System With Grayscale Curve Fitting and Imaging Parameter.

Observational study

The purpose of this observational study was to understand the quantitative assessment of the degree of degeneration of lumbar facet joints, and to improve the Weishaupt grading system by using gray-scale curve fitting and imaging parameters.

The main questions it aims to answer are: How to realize quantitative analysis of lumbar facet joint degeneration in patients with chronic low back pain with MRI?

The MRI information of patients with different grades of articular process joint degeneration has been statistically summarized in nearly 5 years

Study Overview

Study Type

Observational

Enrollment (Actual)

48

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

    • Shanghai
      • Shanghai, Shanghai, China, 200003
        • Changzheng Hospital, Second Military Medical University

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Patients who underwent imaging examination in Shanghai Changzheng Hospital from September 2020 to July 2024 to evaluate lumbar joint degeneration were included.

Description

Inclusion Criteria:

  • (1) Age range from 20 to 80 years old; (2) Persisted chronic low back pain (CLBP) more than 12 weeks; (3) Complete preoperative X-ray and 1.5T MRI examination.

Exclusion Criteria:

  • (1) Scoliosis, Cobb angle>20°; (2) Lack of preoperative X-ray or MRI examination; (3) 3.0T MRI; (4) The interval between preoperative X-ray and MRI examinations is more than one month; (5) Previous lumbar spine internal fixation surgery; (6) Lumbar spondylolisthesis > 5 mm, with severe dislocation of facet joints; (7) Intravertebral bone cement implantation; (8) Severe spinal joint disease (e.g. mandatory spondylitis); (9) Spinal tumors; (10) The maximum extension depth of Modic changes (MC) relative to vertebral body height was greater than 25%.

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
facet joint degeneration
based on the Weishaput grading system, we classified all included patients into the facet joint degeneration group and divided them into four subtypes according to different grades.
Based on the different manifestations of facet joints under MRI, and with the help of the characteristic manifestations of the gray value curve of facet joints under different subtypes, the curve of facet joints under the same level is fitted, and finally the accurate evaluation of different subtypes of small joints is achieved.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Grayscale Curve Fitting
Time Frame: "From enrollment to the end of treatment at 1 weeks
Based on the signal intensity changes of T2-weighted of 1.5T MRI in different degenerative grades of facet joints, the gray value changes in facet joints were measured and fitted.
"From enrollment to the end of treatment at 1 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation analysis and logistic regression analysis between imaging parameters
Time Frame: "From enrollment to the end of treatment at 1 weeks
Imaging parameters such as intervertebral space height (ISH), lumbar range of motion (ROM-L), intervertebral disc degeneration, facet joint degeneration, facet joint area, vertebral bone quality (VBQ) scores, subcutaneous fat tissue thickness (SFTT) and grayscale values of lumbar facet joint were analyzed. Statistical correlations were evaluated using spearman rank correlation and ordinal logistic regression.
"From enrollment to the end of treatment at 1 weeks

Collaborators and Investigators

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

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)

September 1, 2020

Primary Completion (Actual)

July 31, 2024

Study Completion (Actual)

July 31, 2024

Study Registration Dates

First Submitted

January 16, 2025

First Submitted That Met QC Criteria

January 16, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 16, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 2024455
  • 2024DZXYY- 105 (Other Identifier: Shanghai Changzheng Hospital)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

As the data involves the personal privacy of patients in our hospital, it is considered not to be published as public data. You can apply with the person in charge of this study for reasonable demands.

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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