Pyogenic Liver Abscess Mimicking Liver Neoplasm on Computed Tomography Scan in a Patient With Elevated CA 19-9
Bibliographic record
Abstract
Pyogenic liver abscess (PLA) presentation on computer tomography (CT) scan depends mainly on the degree of maturation and internal contents, but rarely presents similarly to primary liver cancer (PLC) or hepatic metastasis. However, distinguishing PLA from PLC can be a challenge, and several cases were reported previously where tumor markers helped in this differentiation. We present a rare case of PLA with radiological findings similar to PLC or liver metastasis on CT scan in a patient with elevated tumor marker, carbohydrate antigen (CA) 19-9. This case illustrates that a combination of risk factors and clinical findings including localizing symptoms, fever, leukocytosis and tumor markers has to accompany image findings to reach an appropriate differentiation in a query case of hepatic lesion. J Med Cases. 2015;6(8):346-349 doi: http://dx.doi.org/10.14740/jmc2238w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".