Multiple Cavitating Nodules in a Renal Transplant Recipient
Bibliographic record
Abstract
Pulmonary nodules are common following solid organ transplantation and vary in etiology. Nodules with central cavitation are most likely to be of infectious origin in the post-transplant population. A novel presentation of post-transplant lymphoproliferative disorder manifesting as multiple cavitating pulmonary nodules is described. The patient, a 45-year-old female renal transplant recipient, presented with constitutional symptoms and a chest x-ray showing multiple bilateral cavitating lesions. A computed tomography scan confirmed innumerable, randomly dispersed, cavitating nodules in the lung parenchyma. Multiple large hypodense lesions were identified in the liver and spleen. The appearance of the native and transplanted kidneys was normal. A liver biopsy identified an Epstein- Barr virus-negative, diffuse, large B cell lymphoma. Repeat imaging after treatment with a cyclophosphamide, hydroxydaunorubicin, oncovin and prednisone/prednisolone regimen demonstrated dramatic resolution of all lesions. The present case represents a unique radiographic presentation of post-transplant lymphoproliferative disorder not previously reported in the literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".