Cryotherapy in the Treatment of Extra-Abdominal Desmoid Tumors—A Review
Bibliographic record
Abstract
The management of desmoid tumors (DTs) often poses challenges due to their variable clinical behavior, with treatment options including active surveillance, systemic therapy, and local therapies including surgery, ablation, and radiation. More recently, cryotherapy has emerged as a promising localized treatment for DTs. We aimed to conduct a review of the indications, techniques, and outcomes of cryotherapy in the treatment of extra-abdominal DTs. The review suggests that cryotherapy can be effectively used for both curative and debulking purposes, with a significant number of patients achieving symptom relief, disease stabilization, or regression. Although generally safe, cryotherapy is associated with potential risks, particularly when critical structures are in proximity. Overall, cryotherapy offers a viable, minimally invasive treatment option for DTs, with favorable outcomes in both symptom relief and tumor control.
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How this classification was reachedexpand
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) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".