Hepatocellular Carcinoma Developed From Non-Cirrhotic Liver: A Case Report
Bibliographic record
Abstract
Non-alcoholic steatohepatitis (NASH) is recognized as a crucial factor in the development of hepatocellular carcinoma (HCC) from non-viral cirrhosis. It is generally known that cirrhosis, fibrosis of the liver, works as a carcinogenic promoter, and it is uncommon for non-cirrhotic liver to develop into HCC. Here we report a case of HCC that developed from non-cirrhotic NASH. A 76-year-old male presented to our hospital with abdominal distention. His medical history included impaired glucose tolerance and hypertension. He denied any use of alcohol. Ultrasonography revealed a lobular mass in S5 of the liver with a marginal low echo that measured 50 × 40 mm. Contrast-enhanced computed tomography confirmed HCC. Laboratory analysis revealed normal hepatic and biliary enzymes, as well as normal levels of tumor markers, including alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II. Virus markers were negative for HBs-Ag, HBV-DNA, HCV-Ab, and HCV-RNA. As a result, he was chosen as a candidate for surgical resection; subsegmental resection of S5 and S6 was performed. The resected specimens of the tumor revealed moderately differentiated HCC; rich macrovesicular lipid depositions were observed over the background liver, which was compatible with A2F1. Based on the histological findings, he was diagnosed with HCC developed from non-cirrhotic NASH. This case report is informative for clinicians by raising awareness of the potential risk of HCC in non-cirrhotic NASH. J Med Cases. 2016;7(11):508-511 doi: https://doi.org/10.14740/jmc2681w
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.003 |
| 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".