Ultrasound-Guided Steroid Injection for Low Back Pain Caused by Bilateral Pars Interarticularis Defects With Fluoroscopic Confirmation, A Case Report.
Bibliographic record
Abstract
BACKGROUND: Low back pain is a prevalent issue with various etiologies, one of which includes pars interarticularis (pars) defects. While traditional fluoroscopic guidance has been the standard for administering injections, both fluoroscopic and ultrasound-guided injections for the management of low back pain have been shown to be similar in efficacy. The benefits of ultrasound guidance include real-time visualization, reduced radiation exposure, and improved patient access. CASE REPORT: A 51-year-old active man with chronic low back pain underwent bilateral pars injections using ultrasound guidance. Ultrasound and fluoroscopic imaging confirmed accurate needle placement. The patient's history indicates that the injections resulted in significant pain relief, which was sustained at the 3-month follow-up. CONCLUSIONS: This is a technical description of an ultrasound-guided pars injection, which can be used as an alternative to fluoroscopic-guided injection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".