Failure of Radiotracer Migration: Salvaging Sentinel Lymph Node Biopsy in Melanoma Care With Indocyanine Green
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reducing false negative rates for sentinel lymph node biopsies (SLNB) in melanoma is important to accurately prognosticate and to guide treatment. Traditionally, SLNB has been performed with the adjunct of radiotracers and blue dye. Although sentinel node mapping is highly successful in axillary and inguinal node basins, identification of nodes in the head and neck is not as accurate with traditional methods. One reason for this may be failure of radiotracer migration. To augment standard technique using a radiocolloid, indocyanine green (ICG) combined with near infrared spectroscopy (NIRS), has shown promising results. We demonstrate a case of an individual undergoing SLNB in the head and neck region with failure of radiotracer migration. Identification of a sentinel node was accomplished with the use of ICG and NIRS. This technology offers an opportunity to salvage the SLNB when traditional methods fail.
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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) | 0.001 | 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 it