Surgical Resection of Hepatic and Pulmonary Metastases from Colorectal Carcinoma
Bibliographic record
Abstract
BACKGROUND: Patients with hepatic and pulmonary metastases from colorectal cancer (CRC) may benefit from aggressive surgical therapy. We examined the longterm outcomes of patients who underwent both lung and liver resections for colorectal metastases over a 10-year period. STUDY DESIGN: Four hundred twenty-three hepatectomies were performed for metastatic CRC between 1992 and 2002 at two university-affiliated hospitals. Patients who underwent both lung and liver resections for metastatic CRC were studied. Demographic, perioperative, and survival data were evaluated by retrospective chart review. Disease-free survival (DFS) and overall survival (OS) were evaluated by Kaplan-Meier analysis and survival curves were compared using the log-rank test. RESULTS: Thirty-nine patients underwent both lung and liver resections for metastatic CRC. Eleven patients (28%) underwent staged liver and lung metastasectomy from synchronously identified metastases. Twenty-eight patients (72%) underwent sequential metastasectomy because of recurrent disease. The median disease-free and overall survivals after initial metastasectomy were 19.8 and 87 months, respectively. Serial metastasectomy was common in this patient population. The mean number of metastasectomies performed was 2.6 per patient (range 1 to 4). There was no difference in overall survival for patients with synchronous versus metachronous presentation of liver and lung metastases (p=0.45). The site of first recurrence after initial metastasectomy was, most commonly, the lung (n=19, 49%), followed by the liver (n=8, 21%). Nineteen patients (49%) underwent subsequent resections for recurrences. Seven patients (18%) underwent 2 or more liver resections for recurrent disease, and 12 (31%) underwent multiple lung resections. CONCLUSIONS: An aggressive multidisciplinary surgical approach should be undertaken for recurrent CRC metastases. In selected patients, serial metastasectomy for recurrent metastatic disease is safe and results in excellent longterm survival after CRC resection.
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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".