Groin soft tissue tumors—a challenge for local control and reconstruction: A prospective cohort analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Groin soft tissue tumors are associated with high local recurrence rates of 16-48% and postoperative complications in 40-68%. Neoadjuvant chemoradiation and aggressive reconstructive techniques were utilized to improve local control and complication rates in this challenging area. METHODS: Nine patients in this prospective series were treated with neoadjuvant chemoradiation (30 mg IV doxorubicin x 3d followed by 300 cGy/d x 10d) followed by surgery and two patients received radiation (5,000 cGy with tissue spacer) followed by surgery for tumors with a pelvic/retroperitoneal component. Surgery included resection plus reconstruction of the abdominal wall, myocutaneous flaps for large defects, and vascular reconstruction as necessary. RESULTS: The 11 consecutive patients presented with Stage I (30%), II (40%), or III (30%) disease. Four patients (36%) were operated on for possible incarcerated hernia prior to referral and two (18%) presented with recurrent tumors. Pathology included 10 sarcomas and 1 desmoid tumor; tumor grade was low (30%), moderate (40%), or high (30%). Local control (mean follow-up 55 months; minimum follow-up 36 months) and limb salvage rate was 100%. Minor wound complications not requiring re-operation occurred in three patients, lymphedema in two, and there were no postoperative hernias. CONCLUSIONS: Preoperative therapy provides excellent local control of groin soft tissue tumors. Current surgical techniques allow extensive resection with limb salvage, dependable primary wound healing and long-term integrity of the abdominal wall.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".