Hepatic Sarcoid-Like Reaction Mimicking Liver Metastases in a 36-Year-Old Female With Rheumatoid Arthritis
Bibliographic record
Abstract
Hepatic and splenic sarcoidosis are still challenging issues for medical imaging, and in many cases, medical images can't exclude the most common mimic of sarcoidosis which is liver metastases; therefore, a liver biopsy is required. A young female patient who had rheumatoid arthritis presented to our hospital with abdominal pain, anorexia, and weight loss for the past three weeks. She was admitted to the acute medical ward and treated with intravenous fluid hydration for hypercalcemia. Her liver function tests were deranged (anicteric cholestasis picture), and her etanercept medication was stopped after being reviewed by the rheumatologist and gastroenterologist. She had a CT and MRI scan of the abdomen, an ultrasound (US) of the abdomen with enhanced contrast, and a positron emission tomography (PET) scan. The radiological findings could not exclude liver metastases, but an ultrasound-guided liver biopsy confirmed the finding of hepatic granulomatous changes of sarcoidosis. Her symptoms and hypercalcemia resolved, and her liver functions gradually normalized.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".