Colorectal liver metastases contract centripetally with a response to chemotherapy
Bibliographic record
Abstract
BACKGROUND: Recently, there has been considerable interest in neoadjuvant chemotherapy for colorectal liver metastases. However, there is little information that defines how much liver should be removed after a favorable response. METHODS: Liver metastases from 2 groups of patients were analyzed: 25 metastases were evaluated from a group that did not receive chemotherapy and 26 lesions were studied from patients who had received systemic chemotherapy before resection. All patients except for 1 had 5-fluorouracil (5-FU), leucovorin (LV), and irinotecan (CPT-11); 1 had 5-FU and LV alone. The average duration of chemotherapy was 2.9+/-0.7 months. Separate assessments of the histopathologic features of the central and peripheral portions of each tumor were made. The pathologist was blinded to all clinical information. RESULTS: All of the untreated metastases had well-circumscribed borders. Irregular borders were seen in 6 of the postchemotherapy lesions (26%), which was particularly prominent in lesions that had significantly contracted. After chemotherapy, discrete islands of viable tumor cells outside of the main tumor mass were seen in 4 patients, but all were close to the peripheral margin of the tumor mass. Viable tumor cells were more frequent in the periphery of metastases, regardless of chemotherapy exposure. Central necrosis was prominent in untreated metastases, but disappeared after chemotherapy. In lesions treated with chemotherapy, central fibrosis was greater compared with untreated lesions. CONCLUSIONS: After a partial response to chemotherapy, liver metastases shrank in a generally concentric fashion. These findings support the practice of removing less liver after downsizing with 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) | 0.000 | 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".