Palliative radiotherapy for hepatic tumors: a narrative review of indications and recommendations
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Primary and metastatic liver cancer presents heterogeneously. New radiotherapy techniques have reduced toxicity concerns, leading to increased use of liver radiotherapy. This review synthesizes available evidence and offers recommendations for palliative radiotherapy for liver cancer. METHODS: PubMed, Ovid Medline, Embase, Cochrane Central, and Web of Science were searched from inception to December 28th, 2022. Articles reporting local control (LC), survival, toxicity, symptom control, and response after stereotactic body radiotherapy (SBRT), partial-liver, or whole-liver radiotherapy (WLRT) techniques were reviewed. We also identified nomograms identifying patients who may benefit from radiotherapy. KEY CONTENT AND FINDINGS: Nine randomized-controlled trials were found, in addition to many retrospective, feasibility, and phase I or II studies. Patients with favorable prognosis may receive SBRT using 30-50 Gray (Gy) in 3-5 fractions for primary cancer and up to 60 Gy for metastases, provided normal-tissue constraints are met. Select patients with multiple (>5) or large (>10 cm) lesions or macrovascular invasion (MVI) may be considered, but with potentially reduced LC and increased toxicity. Lower SBRT doses (i.e., 25 Gy in 5 fractions) can be considered on a cautionary basis for patients with poorer liver function or health. Patients with larger tumor burden, poor performance status (PS), or inability to tolerate SBRT positioning or motion-management can consider partial-liver three-dimensional conformal radiotherapy (3DCRT). For patients with extremely guarded prognosis and/or extremely poor performance, WLRT provides pain and symptom relief over several weeks. Combining radiotherapy and systemic therapy may allow radiotherapy de-escalation while maintaining good outcomes. CONCLUSIONS: Radiotherapy has a definite role for palliation of liver cancer with practical research providing guidance in the use of techniques and different regimens in various patient subgroups. Future investigation, including randomized trials, is needed to optimize patient selection, radiotherapy techniques, and integration with other therapies.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".