[A Case of Oligometastatic Recurrent Colorectal Liver Metastasis Effectively Treated with Stereotactic Body Radiation Therapy].
Bibliographic record
Abstract
BACKGROUND: Colorectal cancer liver metastasis(CRLM)is commonly managed with surgery or systemic chemotherapy. However, alternative treatments are needed for patients who are not candidates for these standard therapies. Stereotactic body radiation therapy (SBRT) has shown promising results in terms of local control. CASE: A 78-year-old woman underwent low anterior resection for rectal cancer(cStage Ⅲc)followed by 3 hepatic resections for metachronous CRLM. Upon the fourth recurrence, surgery was deemed infeasible due to advanced age, the location of recurrence, and surgical history. Additionally, the patient declined systemic chemotherapy. After multidisciplinary discussion, SBRT(50 Gy in 5 fractions)was chosen as the treatment strategy. RESULTS: The patient tolerated SBRT without adverse events. Post-treatment imaging revealed tumor regression, and serum tumor markers normalized within 4 months. There has been no recurrence to date. She has remained disease-free for 5 years after the initial rectal surgery and 3 years following SBRT. CONCLUSION: SBRT may be a safe and effective alternative for patients with recurrent CRLM who are not candidates for surgery or chemotherapy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".