Extranodal Rosai-Dorfman Disease with Multifocal Bone and Epidural Involvement Causing Recurrent Spinal Cord Compression
Bibliographic record
Abstract
Sinus histocytosis with massive lymphadenopathy, or Rosai-Dorfman disease, is a rare histiocytic disorder that typically presents with chronic, self-limiting, cervical lymphadenopathy. We present a case, a diagnostic dilemma for multiple consultation services, of an otherwise well 17-year-old boy without lymphadenopathy who, 8 months after excision of a T9 lytic vertebral lesion and epidural mass that caused cord compression, again presented with cord compression from progressive vertebral disease, recurrent epidural mass, and development of a paraspinal mass and tibial lesion. The excised vertebral and epidural lesions, 2 paraspinal biopsies, and tibial biopsy were interpreted as chronic inflammation until large histiocytes were noted, which were positive for CD68, S100 protein, fascin, and MAC387, and demonstrated characteristic emperipolesis (lymphophagocytosis) that was diagnostic of Rosai-Dorfman disease. This atypical clinical behavior and sites of involvement of multiple bones but not of lymph nodes is unusual and constitutes the aggressive end of the clinical spectrum and a rare cause for cord compression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".