Utility of level VI neck dissection in diagnostic hemithyroidectomies.
Bibliographic record
Abstract
BACKGROUND: The utility and safety of level VI central compartment lymph node dissection (LND) for the early detection of lymph node (LN) involvement during diagnostic hemithyroidectomy, for the evaluation of suspicious thyroid nodules, has yet to be established in the literature. METHODS: A retrospective review of all patients who underwent diagnostic hemithyroidectomy with level VI LND from a large head and neck oncology program from October 1, 2001, to May 10, 2009, was performed. RESULTS: A consecutive series of 78 patients were reviewed. Twenty-six patients (29.8%) were diagnosed with malignant neoplasm. All patients with malignant LNs (n = 5; 6.4%) were diagnosed with papillary carcinoma. On average, 4.8 LNs were found through neck dissection in patients with positive nodes compared to 2.4 LNs in those without lymph node involvement (p = .04). No postoperative adverse events in the patient group were attributed to the level VI neck dissection. CONCLUSIONS: In patients undergoing diagnostic hemithyroidectomies, routine level VI LND was able to identify LN metastases in 6.4% of patients. The number of LNs was a strong predictor of positive node disease. Minimal surgical risks are associated with this procedure, and surgeons may avoid the risks of level VI reexploration in subsequent completion thyroidectomy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".