FDG-PET/CT Findings in Hemophagocytic Lymphohistiocytosis
Bibliographic record
Abstract
A 44-year-old man was admitted to the hospital with fever, pancytopenia, and a new rash. FDG-PET was ordered in light of nonspecific clinical, imaging, and biopsy findings. Findings included diffuse FDG uptake throughout the subcutaneous fat overlying fat stranding/haziness on CT. FDG uptake was associated with scattered subsolid/ground-glass lesions in the lungs. Splenomegaly and increased FDG uptake throughout the bone marrow were seen. Diagnostic considerations included infectious versus lymphomatous processes, and possible sites for biopsy were identified. Biopsy of a highly FDG-avid lung lesion led to a diagnosis of hemophagocytic lymphohistiocytosis secondary to peripheral T-cell lymphoma, not otherwise specified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".