Bibliographic record
Abstract
There is a broad spectrum of benign soft tissue tumors in children, including, among others, vascular, fibroblastic/myofibroblastic, and adipocytic lesions as well as pseudotumors. The diagnosis of superficial soft tissue tumors is in many instances made clinically, whereas those with more equivocal presentation and those found in the deeper soft tissues often require imaging. Ultrasonography is the modality of choice for smaller and superficial lesions and is particularly useful for vascular tumors. Magnetic resonance imaging is the modality of choice for the larger and deeper lesions and for those in which ultrasonography is not adequate. Plain radiographs and computed tomography have a very limited role in the evaluation of soft tissue masses. Correlation with clinical history and findings on physical examination are imperative for an appropriate interpretation of the imaging findings. Although certain entities can be confidently diagnosed based on the combination of clinical and imaging findings, histology is frequently required for a definitive diagnosis. The differentiation of benign from malignant tumors is also challenging and often not possible based on the imaging findings. This article reviews the clinical features and imaging findings of the most common benign pediatric soft tissue tumors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".