Intrathoracic Rosai Dorfman Disease with Focal Aggregates of IgG4-bearing Plasma Cells. Case Report and Literature Review
Bibliographic record
Abstract
Rosai Dorfman disease, also known as sinus histiocytosis with massive lymphadenopathy, is a rare histiocytic disorder that typically presents as painless cervical adenopathy. Occasionally, Rosai Dorfman disease may involve extranodal sites and it can be associated with constitutional symptoms. In this report, we present a patient with progressive dyspnea on exertion, obstruction on spirometry, and paratracheal soft tissue thickening extending to the proximal bronchi and hila. After extensive radiologic and interventional measures, including multiple biopsies, the diagnosis was established on pathology showing characteristic features of Rosai Dorfman disease in a paratracheal lymph node and features of extranodal Rosai Dorfman disease with extensive fibrosis in the paratracheal mass. In addition, the involved paratracheal lymph node demonstrated focally increased IgG4-positive plasma cells, a finding that was not present in the tracheal mass. A review of intrathoracic manifestations of Rosai Dorfman disease including the proposed causes and causative triggers is presented. The histological features and the current understanding of the management and prognosis are also discussed. This unusual presentation highlights the need to consider histiocytic disorders in the differential diagnosis of paratracheal disease.
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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 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".