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

Completed
Conditions
Facet Joint Pain; Low Back Pain
Facet Joints; Degeneration ; Deep Learning ;Artificial Intelligence
Facet Joint Disease
Registration Number
NCT06786611
Lead Sponsor
Shanghai Changzheng Hospital
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

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
48
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Grayscale Curve Fitting"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.

Secondary Outcome Measures
NameTimeMethod
Correlation analysis and logistic regression analysis between imaging parameters"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.

Trial Locations

Locations (1)

Changzheng Hospital, Second Military Medical University

🇨🇳

Shanghai, Shanghai, China

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