Solitary Plasmacytoma of the Jugular Foramen: A Case Report and Review of the Differential Diagnosis
Bibliographic record
Abstract
Jugular foramen tumours are uncommon, deeply located, and eloquently situated, making their diagnosis and management challenging. Paragangliomas and other benign tumours comprise the large majority of lesions in this region, but malignant tumours are occasionally identified. We report a unique case of a solitary plasmacytoma of the jugular foramen resembling a jugulotympanic paraganglioma. A solitary plasmacytoma of the jugular foramen is both rare in location and in disease presentation, as most plasma cell neoplasms are diagnosed as multiple myeloma. Our 75-year-old patient presented with symptoms typical for a jugular foramen tumour. Although there are radiographic features which help differentiate paragangliomas from other benign and malignant tumours, plasmacytomas are highly vascular and can demonstrate a local infiltrative spread which can mimic the radiographic appearance of a paraganglioma. Clinicians should consider plasma cell neoplasms in the differential when faced with an unusual presentation of a jugular foramen lesion. Our patient was treated with definitive radiotherapy to 45 Gy, which was very effective local treatment for the solitary plasmacytoma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".