Chronic Myelopathy Associated to Intramedullary Cysticercosis
Bibliographic record
Abstract
In Brief Study Design. Case report. Objective. Discuss an isolated intramedullary neurocysticercosis (NCC) case in an adult patient with chronic progressive onset myelopathic symptomatology with clinical, radiologic, and pathologic correlation. Summary of Background Data. NCC is the most common parasitic infection in the central nervous system. Spinal NCC belongs to the group of extraparenchymal forms of NCC and it is considered an extremely rare form characterized by a distinct clinical entity due to mass effect on the spinal cord. Methods. Description of a 62-year-old male patient case who presented with chronic but progressive low cord myelopathy who underwent radiologic investigation through magnetic resonance imaging depicting a thoracic intramedullary cystic lesion at level T11. Results. Surgical excision of the intramedullary lesion was preformed and pathologic study confirmed a cysticercus. There was complete resolution of the neurologic symptoms and follow-up monitoring was unremarkable. Conclusion. Although intramedullary is a rare NCC location, it should be considered in the differential diagnosis in high-risk populations especially when cord compression and myelopathy symptoms are present. Magnetic resonance imaging remains the investigative and follow-up modality of choice, and promptly lesion recognition is fundamental for surgical planning and to improve the patient outcome. The authors describe an isolated intramedullary neurocysticercosis case of an adult male patient who presented with chronic progressive low cord myelopathy. After a magnetic resonance scan, a lower thoracic intramedullary cystic lesion with a scolex was depicted. Surgical excision was preformed and pathologic study confirmed a cysticercus.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".