An observational study in Facet Joint Pain; Low Back Pain, Facet Joints; Degeneration ; Deep Learning ;Artificial Intelligence and Facet Joint Disease, sponsored by Shanghai Changzheng Hospital. Completed at 1 site in China. Open to participants aged 20 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-01-22.
Sponsored by Shanghai Changzheng Hospital · Observational
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
2,875 studies on the registry are indexed under Low Back Pain; 484 are open to participants now.
This study's enrollment of 48 is below the median of 100 across 483 observational studies indexed under Low Back Pain.
Browse Low Back Pain studies →Shanghai Changzheng Hospital is the lead sponsor of 128 studies on the registry; 60 are open to participants now.
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Patients who underwent imaging examination in Shanghai Changzheng Hospital from September 2020 to July 2024 to evaluate lumbar joint degeneration were included.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
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
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.
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.
Time frame: "From enrollment to the end of treatment at 1 weeks
Correlation analysis and logistic regression analysis between imaging parameters
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.
Time frame: "From enrollment to the end of treatment at 1 weeks
Plan to share: No — 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.
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This study is completed, as verified in Jan 2025. You cannot join it, but the record below documents what was studied.
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