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

NCT06786611 | Completed DMC

• 2 other identifiers: 20244552024DZXYY- 105
• Study Type: observational
• Target: 48
• Locations: 1 country
• Sites: 1

Brief Summary

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

Conditions

Facet Joint Pain; Low Back Pain; Facet Joints; Degeneration ; Deep Learning ;Artificial Intelligence; Facet Joint Disease

Keywords

facet joint degeneration; low back pain; Weishaupt grading system; Grayscale curve fitting

Outcome Measures

Primary Outcomes (1)

• Grayscale Curve Fitting

  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 Outcomes (1)

• Correlation analysis and logistic regression analysis between imaging parameters

  "From enrollment to the end of treatment at 1 weeks

Study Arms (1)

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.

Diagnostic Test: MRI

Interventions

MRI DIAGNOSTIC_TEST

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.

facet joint degeneration

Eligibility Criteria

• Age: 20 Years - 80 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

• (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.

You may not qualify if:

• (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%.

Sponsors & Collaborators

• Shanghai Changzheng Hospital: lead

Study Sites (1)

Changzheng Hospital, Second Military Medical University

Shanghai, Shanghai Municipality, 200003, China

Location

MeSH Terms

Conditions

Low Back Pain

Condition Hierarchy (Ancestors)

Back Pain; Pain; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: January 16, 2025
• First Posted: January 22, 2025
• Study Start: September 1, 2020
• Primary Completion: July 31, 2024
• Study Completion: July 31, 2024
• Last Updated: January 22, 2025

Record last verified: 2025-01

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)