Primary Hepatic Malignant Fibrous Histiocytoma
Bibliographic record
Abstract
Primary hepatic malignant fibrous histiocytoma (MFH) is a rare entity with ill-defined clinicopathologic characteristics. We present the largest series to date (7 cases) of primary hepatic MFH, a systematic review of 27 cases published in the English literature, and an analysis of prognostic factors including ezrin expression. The 2 men and 5 women in our series were 34 to 80 years old (average 61 y) and presented with abdominal pain (6/7), systemic symptoms of low-grade fever, malaise, anorexia and weight loss (4/7), and spiking fever (1/7). One case was an incidental finding. Computed tomography and ultrasound revealed a well-demarcated solitary heterogeneous low-density mass ranging from 5.5 to 20 cm (average 12 cm) in largest dimension (5/7), or multiple small nodules up to 2 cm in diameter (1/7) or a 10 cm multiloculated cystic lesion owing to extensive necrosis (1/7). Histologically, a storiform-pleomorphic pattern with variable degrees of necrosis predominated (6/7). A myxoid pattern was seen in only 1 case and this case lacked necrosis. Lymphoplasmacytic infiltration was seen in 3/7 of the cases. Tumors were grade I (1/7), grade II (2/7), grade III (4/7), stage pT1 (4/7), pT2 (1/7), pT4 (1/7), and pT4, cM1 (1/7) at diagnosis. Three patients with tumor cell ezrin immunoreactivity score >or=1 died of tumor within 1 year. Two patients with tumor cell ezrin immunoreactivity score <1 survived >4 years after surgery. Combined analysis of our series and previously reported cases suggest that primary hepatic MFH possess certain characteristic clinicopathologic features that may help in making the diagnosis and in differentiating it from other more common neoplasms in the liver. The prognosis of hepatic MFH depends primarily on tumor size and stage at the time of diagnosis. Ezrin expression in tumor cells can provide additional prognostic information and may be a potential target for new adjuvant therapies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".