Prospective study of sentinel node biopsy for high‐risk cutaneous squamous cell carcinoma of the head and neck
Bibliographic record
Abstract
BACKGROUND: Nodal metastasis from cutaneous squamous cell carcinoma (SCC) is poorly predicted clinically and is associated with a high mortality rate. METHODS: From 2010 to 2013, patients with high-risk cutaneous SCC were assessed with sentinel node biopsy (SNB) either at the time of primary cutaneous tumor resection or at secondary wide local excision. RESULTS: Of 57 patients, 8 (14%) had nodal metastasis. Significant predictors of metastasis are the number of high-risk factors (p = .008), perineural invasion (PNI; p = .05), and lymphovascular invasion (LVI; p = .05). During a mean of 19.4 months, 9 patients developed recurrence and 6 died of cutaneous SCC, indicating that over 1300 patients would be required for a randomized controlled trial with 80% power to detect a significant difference in disease-free survival. CONCLUSION: Lymph node metastasis occurs in 14% of patients with high-risk cutaneous SCC. Larger studies will be required to identify which "high-risk" factors should be considered as an indication for surgical assessment of the nodal basin. © 2015 Wiley Periodicals, Inc. Head Neck 38: E884-E889, 2016.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".