Facet Joint Disease, Facet Joint Pain; Low Back Pain, Facet Joints; Degeneration ; Deep Learning ;Artificial Intelligence
Conditions
Keywords
facet joint degeneration, low back pain, Weishaupt grading system, Grayscale curve fitting
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
Interventions
DIAGNOSTIC_TESTMRI
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.
Sponsors
Shanghai Changzheng Hospital
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 80 Years
Healthy volunteers
Yes
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%.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Countries
China
Outcome results
None listed