Stereotactic body radiation therapy for hepatocellular carcinoma with macrovascular invasion.
Bibliographic record
Abstract
428 Background: In patients with hepatocellular carcinoma (HCC), macrovascular invasion (MVI) is associated with a poor prognosis. This study describes long-term outcomes of patients with HCC and MVI treated with stereotactic body radiation therapy (SBRT). Methods: Patients with HCC and MVI who were treated with SBRT from January 2003 to December 2016 were eligible for analysis. Patients who had extrahepatic disease or who had prior liver transplant were excluded. Demographical, clinical, and treatment variables were collected, under IRB approval. The degree of vascular invasion was quantified into two categories: main portal vein branch/IVC and distal portal/hepatic vein. Results: 128 eligible pts with HCC and MVI were treated with SBRT ( > 4.5 Gy/fraction). The median age was 61 yrs (range: 39 to 90 yrs). Underlying liver disease was hepatitis B in 23%, hepatitis C in 45%, other in 20%; no known liver disease in 12%. Baseline Child-Pugh (CP) score was A5 in 67%, A6 in 20%, B7 or higher in 13%. 35% received previous liver-directed therapies. Median HCC volume was 153.7 mL (range: 3.9 to 1,813.5 mL). Median AFP was 205 ug/L (range: 1 to 171,154 ug/L). Median SBRT dose was 33.3 Gy (range: 27 to 54 Gy) in 6 fractions. Local control at 1 year was 87.4% (95% CI 78.6 to 96.1%). SBRT dose or HCC volume were not significant on univariate analysis. Median overall survival was 18.3 months (95% CI 11.2 to 21.4 months). ECOG PS > 1 (HR:1.73, p = 0.03), CP score (HR: 1.67, p = 0.04), and treatment between 2004 and 2010 (HR: 2.28, p = 0.0009) were significant on multivariable analysis, while SBRT dose, HCC volume, and degree of vascular invasion were not. In 35 patients who received sorafenib following SBRT, median survival was 38.5 months (95% CI 17.23 to 43.16 months). 4/128 pts. developed GI bleeding and 35/112 patients with liver function evaluable at baseline and 3 months had a deterioration in CP class. Conclusions: SBRT was associated with excellent outcomes for patients with HCC and MVI. Randomized phase III trials of SBRT are warranted and ongoing.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".