Diagnosis and Management of Hepatocellular Carcinoma: Results of a Consensus Meeting of The Ottawa Hospital Cancer Centre
Bibliographic record
Abstract
Hepatocellular carcinoma (HCC) is an uncommon tumour, but its incidence is increasing in Canada and elsewhere. Currently, there are no Canadian recommendations for diagnosis and treatment of hcc, and possible options may have regional limitations. A consensus symposium was held in the Ottawa region to consider current diagnostic and management options for hcc. These recommendations were developed: Diagnosis-with adequate imaging, a biopsy is not required pre-surgery, but is required before the start of systemic therapy; lesions smaller than 1 cm should be followed and not biopsied; repeat biopsies should be core tissue biopsies; magnetic resonance imaging is preferred, but triphasic computed tomography imaging can be useful. Resection-recommended for localized HCC. Radiofrequency ablation-recommended for unresectable or non-transplantable HCC; should not be performed in the presence of ascites. Trans-arterial chemoembolization (TACE)-doxorubicin with lipiodol is the agent of choice; trans-catheter embolization is an alternative for patients if TACE is not tolerated or is contraindicated. Medical management-first-line sorafenib should be considered the standard of care. Transplantation-suitable patients meeting Milan criteria should be assessed for a graft regardless of other treatments offered. The authors feel that the recommendations from this consensus symposium may be of interest to other regions in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.022 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".