Diagnostic pitfalls in fine needle aspiration biopsy of the spleen
Bibliographic record
Abstract
Fine needle aspiration (FNA) of the spleen is rarely performed, due to fear of procedure complications. The objective of this study is to review the cytologic diagnoses of aspiration biopsy of the spleen performed in a cancer center. Archival material (9-year period) was reviewed and correlated with histologic and ancillary test results, when available.Forty-one splenic FNA specimens were identified. There were no reported procedure complications. Nineteen cases were diagnosed as malignant. Of these, 11 were lymphomas. Nineteen cases were diagnosed as benign. There was one false-negative case and four false-positive cases. Primary splenic neoplasms were rare and misinterpreted as malignant. It is important to be familiar with the normal cytology of this uncommonly aspirated organ in order to successfully identify neoplastic and malignant processes. The use of ancillary studies is important in the definitive classification of benign and malignant splenic lesions.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".