Phase I Study of Individualized Stereotactic Body Radiotherapy of Liver Metastases
Bibliographic record
Abstract
PURPOSE: To report on the outcomes of a phase I study of stereotactic body radiotherapy (SBRT) for treatment of liver metastases. PATIENTS AND METHODS: Patients with liver metastases that were inoperable or medically unsuitable for resection, and who were not candidates for standard therapies, were eligible for this phase I study of individualized SBRT. Individualized radiation doses were chosen to maintain the same nominal risk of radiation-induced liver disease (RILD) for three estimated risk levels (5%, 10%, and 20%). Additional patients were treated at the maximal study dose (MSD) in an expanded cohort. Median SBRT dose was 41.8 Gy (range, 27.7 to 60 Gy) in six fractions over 2 weeks. RESULTS: Sixty-eight patients with inoperable colorectal (n = 40), breast (n = 12), or other (n = 16) liver metastases were treated. Median tumor volume was 75.2 mL (range, 1.19 to 3,090 mL). The highest RILD risk level investigated was safe, with no dose-limiting toxicity. Two grade 3 liver enzyme changes occurred, but no RILD or other grade 3 to 5 liver toxicity was seen, for a low estimated risk of serious liver toxicity (95% CI, 0 to 5.3%). Six (9%) acute grade 3 toxicities (two gastritis, two nausea, lethargy, and thrombocytopenia) and one (1%) grade 4 toxicity (thrombocytopenia) were seen. The 1-year local control rate was 71% (95 CI, 58% to 85%). The median overall survival was 17.6 months (95% CI, 10.4 to 38.1 months). CONCLUSION: Individualized six-fraction liver metastases SBRT is safe, with sustained local control observed in the majority of 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".