[Relapse-Free Survival Following Multidisciplinary Therapy for Hepatocellular Carcinoma with Multiple Lung Metastases--A Case Report].
Bibliographic record
Abstract
Chemotherapy is not effective for metastatic hepatocellular carcinoma(HCC); however, prolonged survival can be expected for patients with multiple metastases who are treated with surgical resection in addition to chemotherapy. We present a case of a 36-year-old woman with hepatitis B who developed HCC with multiple intrahepatic and lung metastases after undergoing resection of HCC in 2010 in Canada. The patient returned to Japan for additional treatment. She was treated with TACE therapy and systemic chemotherapy, but her lung metastases did not improve. The patient's PIVKA-Ⅱ levels remained moderately elevated after initiation of chemotherapy. Therefore, we performed surgical resection of the lung metastases in March 2014. Five months later, the patient received additional TACE therapy when an isolated metastasis was found in the residual liver. Since then, no recurrence of HCC has been found, and the patient's PIVKA-Ⅱ levels have remained in the normal range. This case demonstrates that surgical resection for multiple lung metastases is possible in select patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".