A Rare Calcified Complication of Epidural Injections for Lumbar Spinal Stenosis: A Case Presentation and Literature Review
Bibliographic record
Abstract
BACKGROUND: Neurogenic claudication secondary to degenerative lumbar stenosis is typically managed with nonsurgical options, such as epidural corticosteroid injections. As a standard and effective treatment for lumbar stenosis, clinicians must be aware of the corticosteroids choice when injecting in the epidural space. CASE REPORT: A 62-year-old man presenting with sciatic pain is treated with multiple neuroforaminal, facet, and caudal corticoid injections over the course of several months without any symptomatic resolution. A magnetic resonance imaging of his lumbar spine revealed focal bilateral central stenosis at the L4-L5 level. A computed tomography revealed hyperdense lesions at that level. The patient was referred for a surgical option. He underwent complete minimally invasive resection of the bilateral lesion with instrumented and interbody fusion. The final pathology report identified the mass as a calcified granuloma. CONCLUSIONS: Following repetitive methylprednisolone acetate injections, one must be aware of all the potential complications arising from particulate corticosteroids. KEY WORDS: Spinal stenosis, epidural injections, granulomas, corticosteroids
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".