Resection of a Huge Fourth-Recurrence Retroperitoneal Liposarcoma
Bibliographic record
Abstract
Resection of retroperitoneal liposarcomas continues to be a challenge for the surgeon, in particular given their large size and involvement of vital organs. We present our experience about the resection of huge fourth-recurrence retroperitoneal liposarcomas, this dumbbell-shaped mass occupied portovena-caval gap, encapsulated the portal vein and was closed attached to inferior vena cava. It was almost impossible to push the whole mass to any side for en block resection because both left and right part of this mass all reached 20 cm. So we decided to firstly resect the right part of dumbbell-shaped mass, dissect the link part from behind the portal vein, followed by pushing it to the left side and then resect together with the left part. This method made the complete resection easier and safer, of which avoid the occurrence of uncontrollable massive hemorrhage. doi:10.4021/jmc630e
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".