Desmoid tumors: A novel approach for local control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: After resection, desmoid tumors are associated with a recurrence rate that is typically 25-50%. Although this is an unusual problem, we instituted a prospective cohort study with neoadjuvant chemotherapy and radiation, followed by surgical resection, in an effort to improve local control. METHODS: Between 1985 and 1999, 13 patients with potentially resectable disease were managed with a treatment protocol of preoperative doxorubicin (30 mg continuous infusion daily for 3 days) and radiotherapy (10 x 300 cGy). Resection was performed 4-6 weeks later. All lesions were resected with an intended margin of 1 cm, but clear adventitial margins were accepted in order to preserve critical structures. RESULTS: The median follow-up was 71 months (range, 22-109). Six patients (46%) presented after failure of a previous surgery. Clear microscopic margins were obtained in 11 patients, and 2 patients had positive margins. There were two local recurrences (15% local recurrence). Both recurrences followed resection of large thigh lesions, which appeared at 30 and 49 months of follow-up. In one patient with a chest wall tumor, two new primary desmoid tumors developed outside the treatment area, in the ipsilateral arm and forearm. Eleven patients have been disease free for a median of 71 months (range, 22-109). CONCLUSIONS: For potentially resectable lesions, this protocol provides excellent local control, even in those with recurrent disease. Neoadjuvant treatment with doxorubicin and radiotherapy appears to be a better option than surgery alone, or surgery and adjuvant radiotherapy. These results need to be confirmed in larger, prospective randomized trials.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it