Surgical Management of Desmoid Tumors—Patient Selection, Timing, and Approach
Bibliographic record
Abstract
Desmoid tumors are rare, deep-seated myofibroblastic tumors with an unpredictable course, ranging from spontaneous regression to infiltrative growth and locally aggressive behavior, but without metastatic potential. Over the past few decades, advances in understanding their natural history, underlying molecular pathways, and patient care priorities have shifted the treatment paradigm from upfront surgical resection to initial active surveillance, with further treatment dictated by continuous disease progression or associated symptoms. However, there are still specific scenarios where surgery continues to play an important role in locoregional treatment and symptom control. This article will focus on current treatment strategies and surgical indications in adult patients with desmoid tumors, emphasizing patient selection, anatomic site-specific considerations, and surgical technique. Understanding the nuanced role of surgery within the growing treatment landscape is key for individualized patient care in a multidisciplinary setting to optimize quality of life and long-term outcomes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.000 | 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".