Radial Endobronchial Ultrasound to Diagnose a Case of Non-Hodgkin’s Lymphoma in the Lung: A Case Report and Literature Review
Bibliographic record
Abstract
Non-Hodgkin's lymphomas (NHLs) are a heterogeneous group of lymphoproliferative malignancies that are very rarely seen in the lung. Although they generally have a favorable prognosis, the clinical symptoms and most efficient methods of diagnosis have not yet been clearly defined. This report highlights an interesting case wherein a 75-year-old male who presented with complaints of fever, cough, and generalized weakness for three weeks was diagnosed and treated as a case of pneumonia. He did not respond to conventional treatment with antibiotics and antipyretics. Hence, computed tomography of the thorax was done which showed consolidation in the right lower lobe along with a few enlarged right hilar nodes. To evaluate this unresolved pneumonia, he was further evaluated with a radial endobronchial ultrasound (EBUS) and biopsy, which helped in arriving at a diagnosis of NHL. This case illustrates the significance of advanced interventions such as radial EBUS to identify the exact etiology of the lesions. This is the first case to document the ultrasound images of NHL in the lung, obtained using a radial EBUS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| 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 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".