Cryptogenic cervical intramedullary abscess with rapidly progressive myelopathy: illustrative case
Bibliographic record
Abstract
BACKGROUND: The purpose of the present case report is to highlight the presentation, workup, clinical decision making, and operative intervention for a 68-year-old woman who developed rapidly progressive myelopathy secondary to idiopathic cervical intramedullary abscess. OBSERVATIONS: The patient underwent laminectomy and aspiration/biopsy of the lesion. Intraoperatively, division of the posterior median sulcus released a large volume of purulent material growing the oral pathogens Eikenella corrodens and Gemella morbillorum. Broad-spectrum antibiotics were initiated postoperatively. At the 6-month follow-up, the patient had almost completely recovered with some persistent hand dysesthesia. Complete infectious workup, including full dental assessment and an echocardiogram, failed to reveal the source of her infection. LESSONS: The authors report the first case of cryptogenic spinal intramedullary abscess secondary to Eikenella spp. and Gemella spp. coinfection. Intramedullary abscesses are exceptionally rare and most commonly develop in children with dermal sinus malformations or in the context of immunosuppression. In adults without risk factors, they can readily be mistaken for more common pathologies in this age group, such as intramedullary neoplasms or demyelinating disease. Prompt diagnosis and management based on rapidly progressive myelopathy, assessment of infectious risk factors and/or symptoms, and targeted imaging are critical to avoid potentially devastating neurological sequelae.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".