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Record W2163403599 · doi:10.1002/hep.24199

Management of Hepatocellular Carcinoma: An Update Δσ

2011· article· en· W2163403599 on OpenAlexaff
Jordi Bruix, Morris Sherman

Bibliographic record

VenueHepatology · 2011
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineHepatocellular carcinomaHepatitis B virusLiver cancerHepatologyGuidelineHepatitis BInternal medicineLiver biopsyHepatitisBiopsyGastroenterologyPathologyVirusImmunology

Abstract

fetched live from OpenAlex

Since the publication of the American Association for the Study of Liver Diseases (AASLD) practice guidelines on the management of hepatocellular carcinoma (HCC) in 2005, new information has emerged that requires that the guidelines be updated. The full version of the new guidelines is available on the AASLD Web site at http://www.aasld.org/practiceguidelines/Documents/Bookmarked&percnt;20Practice%20Guidelines/HCCUpdate2010.pdf. Here, we briefly describe only new or changed recommendations. AASLD, American Association for the Study of Liver Diseases; BCLC, Barcelona Clinic Liver Cancer; HCC, hepatocellular carcinoma. In the previous guideline, groups were specified for which surveillance was likely to be cost-effective because the hepatocellular carcinoma (HCC) incidence was high enough. New data on defining HCC risk have emerged for hepatitis B virus,1, 2 hepatitis C virus,3 and autoimmune hepatitis.4 Surveillance is deemed cost-effective if the expected HCC risk exceeds 1.5% per year in patients with hepatitis C and 0.2% per year in patients with hepatitis B. Analysis of recent studies show that alpha-fetoprotein determination lacks adequate sensitivity and specificity for effective surveillance (and for diagnosis).5, 6 Thus, surveillance has to be based on ultrasound examination. The recommended screening interval is 6 months. Diagnosis of HCC should be based on imaging techniques and/or biopsy.The 2005 diagnostic algorithm has been validated and the diagnostic accuracy of a single dynamic technique showing intense arterial uptake followed by “washout” of contrast in the venous-delayed phases has been demonstrated.7-9 Contrast-enhanced US may offer false positive HCC diagnosis in patients with cholangiocarcinoma and thus, has been dropped from the diagnostic techniques. The diagnostic algorithm is shown in Fig. 1. The application of dynamic imaging criteria should be applied only to patients with cirrhosis of any etiology and to patients with chronic hepatitis B who may not have fully developed cirrhosis or have regressed cirrhosis. Interpretation of biopsies and distinction between high-grade dysplatic nodules and HCC is challenging. Expert pathology diagnosis is reinforced by staining for glypican 3, heat shock protein 70, and glutamine synthetase, because positivity for two of these three stains confirms HCC.10 Diagnostic algorithm for suspected HCC. CT, computed tomography; MDCT, multidetector CT; MRI, magnetic resonance imaging; US, ultrasound. The BCLC staging system (Fig. 2)11 has come to be widely accepted in clinical practice and is also being used for many clinical trials of new drugs to treat HCC. Therefore, it has become the de facto staging system that is used. The BCLC staging system for HCC. M, metastasis classification; N, node classification; PS, performance status; RFA, radiofrequency ablation; TACE, transarterial chemoembolization. The recommendations for liver transplantation have not changed. No new data have emerged that can be used to define a new limit for expanding the patient selection criteria. The usefulness of portal pressure measurement to predict the outcome of patients and define optimal candidates for resection has been validated in Japan.12 Thus, resection should remain the first option for patients who have the optimal profile, as defined by the BCLC staging system. Although resection can be performed in some of these patients with advanced liver disease, the mortality is higher and they might be better served by liver transplantation or ablation. A cohort study of radiofrequency ablation demonstrated that complete ablation of lesions smaller than 2 cm is possible in more than 90% of cases, with a local recurrence rate of less than 1%.13 These data should be confirmed by other groups before positioning ablation as the first-line approach for very early HCC. The recommendations regarding patient selection and method of administration of chemoembolization are unchanged. Radioembolization, i.e., the intra-arterial injection of yttrium-90 bound to glass beads or to resin, has been shown to induce tumor necrosis, but there are no data comparing its efficacy to transarterial chemoembolization or to sorafenib treatment for those with portal vein invasion. However, for patients who have either failed transarterial chemoembolization or who present with more advanced HCC, new data indicates the efficacy of sorafenib (a multikinase inhibitor with activity against Raf-1, B-Raf, vascular endothelial growth factor receptor 2, platelet-derived growth factor receptor, c-Kit receptors, among other kinases) in prolonging life.14, 15 Sorafenib induces a clinically relevant improvement in time to progression and in survival The magnitude of the improvement in survival compares with other established molecular targeted therapies for other advanced cancers, and the associated toxicity is easily managed without treatment-related mortality. The most frequent adverse events were diarrhea (sorafenib versus placebo: 11% versus 2%) and hand–foot skin reaction (sorafenib versus placebo: 8% versus <1%), fatigue, and weight loss. Sorafenib is now considered first-line treatment in patients with HCC who can no longer be treated with potentially more effective therapies. In summary, in the past decade HCC has gone from being an almost universal death sentence to a cancer that can be prevented, detected at an early stage, and effectively treated. Physicians caring for patients at risk need to provide high-quality screening, proper management of screen-detected lesions, and provision of therapy that is most appropriate for the stage of disease.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.004

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.

Opus teacher head0.090
GPT teacher head0.257
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations8,133
Published2011
Admission routes1
Has abstractyes

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