State of the Art of Sentinel Lymph Node Biopsy in Vulvar Carcinoma
Bibliographic record
Abstract
Treatment for early-stage vulvar carcinoma has evolved from radical en bloc dissection to wide local incision with lymphadenectomy through separate groin incisions, to sentinel lymph node biopsy (SLNB). The morbidity of SLNB is far less than traditional inguinofemoral lymphadenectomy, with less lymphedema and sensory deficit, shorter hospital stays and fewer infections. A multidisciplinary approach is required, with success of the SLNB technique maximized when radiolabeled colloid is used, with blue dye added when further identification is needed. Frozen-section analysis, followed by ultrastaging of the nodal sample, minimizes the need for reoperations and decreases the risk of false negatives. We believe that SLNB will become the standard of care for treatment of early-stage vulvar carcinoma.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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".