Non–Viral-Related Pathologic Findings in Liver Needle Biopsy Specimens From Patients With Chronic Viral Hepatitis
Bibliographic record
Abstract
Liver biopsy is a vital part of chronic viral hepatitis management. Pathologists should view these biopsies as screening tools for other liver diseases. We describe our experience in a 6-year period and discuss the pathologist's role. Liver biopsies of 1,842 patients with hepatitis B or C, for the 2001-2007 period at the University Health Network, Toronto, Canada, were reviewed; 410 other diagnoses were documented in 377 patients (20.5%; mean age, 25.4 years; range, 15-80 years). These diagnoses included 58 hepatocellular carcinomas and 16 dysplastic nodules, which are recognized complications of chronic viral hepatitis. The remaining findings included the following: steatosis/steatohepatitis, 251; hemosiderosis, 62; granulomatous disease, 7; drug-induced hepatitis, 4; primary biliary cirrhosis, 3; Wilson disease, 2; metastases, 2; and cholangiocarcinoma, atypical lymphoid proliferation, alpha(1)-antitrypsin deficiency, cystic fibrosis, and schistosomiasis, 1 each. Liver biopsies in patients with viral hepatitis revealed other processes with the potential to modify disease progression and/or the management strategy in 20.5% of patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".