Sentinel Node Biopsy in N0 Squamous Cell Carcinoma of the Oral Cavity and Oropharynx in Patients Previously Treated With Surgery or Radiation Therapy
Bibliographic record
Abstract
OBJECTIVES: To assess the feasibility of sentinel lymph node (SLN) localization and to determine the predictive value of SLN biopsy for occult neck metastases in patients previously treated with surgery or radiation therapy and with N0 squamous cell carcinoma of the oral cavity or oropharynx. DESIGN: Prospective case series. SETTING: Tertiary academic hospital. PATIENTS: Eleven patients with T1 to T4 N0 squamous cell carcinoma of the oral cavity or oropharynx. INTERVENTIONS: Patients underwent preoperative peritumoral injection of technetium Tc 99m sulfur colloid followed by dynamic lymphoscintigraphy and operative localization of the SLN(s) with the use of a handheld gamma probe. MAIN OUTCOME MEASURES: The presence or absence of metastatic disease in N0 squamous cell carcinoma of the oral cavity and oropharynx in patients previously treated with surgery or radiation therapy as identified by SLN biopsy findings. RESULTS: In each of the 11 patients, 1 to 3 SLNs were identified by lymphoscintigraphy. All SLNs identified by lymphoscintigraphy were successfully identified and removed with the use of an intraoperative gamma probe. In 10 of the 11 patients, the biopsy findings from the SLN(s) accurately predicted the presence or absence of occult neck metastasis. There was 1 instance of a negative SLN with a positive neck dissection. The overall negative predictive value of the study was 91%. No aberrant lymphatic drainage patterns were observed in this study. CONCLUSION: In patients previously treated with surgery or radiation therapy, SLN biopsy was as effective as in previously untreated patients according to published reports and warrants inclusion of this patient group into larger studies.
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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) | 0.001 | 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".